Changes
On December 2, 2024 at 9:47:29 PM UTC,
admin:
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Changed title to Shapenet (previously ShapeNet)
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Set author of Shapenet to Angel X Chang (previously Tianchang Shen)
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Updated description of Shapenet from
Generating a 3D point cloud from a single 2D image is of great importance for 3D scene understanding applications. To reconstruct the whole 3D shape of the object shown in the image, the existing deep learning based approaches use either explicit or implicit generative modeling of point clouds, which, however, suffer from limited quality.
toShapenet is a large-scale synthesis 3D object dataset, where we follow [9] to use the official test splits of chair, car, and motorbike categories for evaluation since they contain relatively complex textures.
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Removed the following tags from Shapenet
- 3D shape recognition
- Classification
- Object Classification
- Shape Synthesis
- nonparametric Bayesian inference
- 3D point clouds
- 3D reconstruction
- Shape Completion
- single RGB images
- textures
- Shape Analysis
- 3D Object Reconstruction
- Point Cloud Generation
- 3D mesh
- point cloud
- partially occluded objects
- shape recognition
- 3D point cloud
- 3D Human Reconstruction
- point cloud completion
- color attributes
- Computer vision
- point cloud processing
- Shape Recognition
- Multiple views
- multiple categories
- shape classification
- topology
- 3D Data
- shape synthesis
- 3D data
- semantic annotations
- 3D
- Geodesic distances
- image interpolation
- shape abstraction
- shape generation
- 3D Dataset
- 3D scene reconstruction
- 3D keypoint annotations
- Annotations
- Segmentation
- CAD
- object generation
- Computer-Aided Design
- 3D Completion
- 3D Model Retrieval
- 3D modeling
- variational autoencoders
- classification
- 3D shape reconstruction
- Recognition
- computer vision
- shape priors
- object reconstruction
- Intrinsic Image Decomposition
- category annotations
- shape segmentation
- 3D Shape Database
- shape matching
- 3D shapes
- Computer Vision
- indoor scenes
- voxels
- 3D Generation
- everyday objects
- CAD models
- 3D Point Clouds
- 3D Shape Generation
- 3D Model Recognition
- Generative Adversarial Networks
- 3D objects
- 3D Modeling
- ShapeNet dataset
- 3D Shape Analysis
- Image synthesis
- shape reconstruction
- Objects
- Point clouds
- Semantic Segmentation
- ModelNet40
- Point Clouds
- Shape Classification
- dense point clouds
- chair detection
- shape completion
- segmentation
- Part Segmentation
- 3D shape generation
- Single Depth View
- shape retrieval
- texture maps
- Natural Language
- Segmented Shapes
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Added the following tags to Shapenet
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Changed value of field
defined_in
tohttps://doi.org/10.48550/arXiv.2406.15811
in Shapenet -
Changed value of field
extra_authors
to[{'extra_author': 'Thomas Funkhouser', 'orcid': ''}, {'extra_author': 'Leonidas Guibas', 'orcid': ''}, {'extra_author': 'Pat Hanrahan', 'orcid': ''}, {'extra_author': 'Qixing Huang', 'orcid': ''}, {'extra_author': 'Zimo Li', 'orcid': ''}, {'extra_author': 'Silvio Savarese', 'orcid': ''}, {'extra_author': 'Manolis Savva', 'orcid': ''}, {'extra_author': 'Shuran Song', 'orcid': ''}, {'extra_author': 'Hao Su', 'orcid': ''}]
in Shapenet -
Changed value of field
citation
to['https://doi.org/10.48550/arXiv.2402.11241', 'https://doi.org/10.48550/arXiv.1806.06575', 'https://doi.org/10.48550/arXiv.1911.10737', 'https://doi.org/10.1007/978-3-030-66096-3_42', 'https://doi.org/10.48550/arXiv.2312.04248', 'https://doi.org/10.48550/arXiv.2010.13938', 'https://doi.org/10.48550/arXiv.2303.01804', 'https://doi.org/10.48550/arXiv.2404.03067']
in Shapenet -
Deleted resource Original Metadata from Shapenet
| f | 1 | { | f | 1 | { |
| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| n | 3 | "author": "Tianchang Shen", | n | 3 | "author": "Angel X Chang", |
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| 5 | "citation": [ | 5 | "citation": [ | ||
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| 47 | "https://doi.org/10.48550/arXiv.2006.10187", | ||||
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| 49 | "https://doi.org/10.48550/arXiv.2304.03999", | ||||
| 50 | "https://doi.org/10.48550/arXiv.2204.02320", | ||||
| 51 | "https://doi.org/10.1145/3618317", | ||||
| 52 | "https://doi.org/10.48550/arXiv.2009.08255", | ||||
| 53 | "https://doi.org/10.48550/arXiv.2010.11378", | ||||
| 54 | "https://doi.org/10.48550/arXiv.1901.05103", | ||||
| 55 | "https://doi.org/10.48550/arXiv.1706.07036", | ||||
| 56 | "https://doi.org/10.48550/arXiv.2308.16484", | ||||
| 57 | "https://doi.org/10.48550/arXiv.2401.17603", | ||||
| 58 | "https://doi.org/10.48550/arXiv.2111.04237", | ||||
| 59 | "https://doi.org/10.48550/arXiv.2406.02202", | ||||
| 60 | "https://doi.org/10.48550/arXiv.2102.04776", | ||||
| 61 | "https://doi.org/10.48550/arXiv.2004.12232", | ||||
| 62 | "https://doi.org/10.48550/arXiv.2109.01605", | ||||
| 63 | "https://doi.org/10.48550/arXiv.2005.09382", | ||||
| 64 | "https://doi.org/10.48550/arXiv.2306.08659", | ||||
| 65 | "https://doi.org/10.48550/arXiv.2102.05984", | ||||
| 66 | "https://doi.org/10.48550/arXiv.1803.08495", | ||||
| 67 | "https://doi.org/10.48550/arXiv.2008.01936", | ||||
| 68 | "https://doi.org/10.48550/arXiv.2311.17938", | ||||
| 69 | "https://doi.org/10.48550/arXiv.1903.00709", | ||||
| 70 | "https://doi.org/10.48550/arXiv.2011.14289", | ||||
| 71 | "https://doi.org/10.48550/arXiv.2008.06967", | ||||
| 72 | "https://doi.org/10.48550/arXiv.2203.14714", | ||||
| 73 | "https://doi.org/10.48550/arXiv.1909.09287", | ||||
| 74 | "https://doi.org/10.48550/arXiv.2012.00230", | ||||
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| 82 | ], | 14 | ], | ||
| 83 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 15 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
| n | 84 | "defined_in": "https://doi.org/10.48550/arXiv.2012.02190", | n | 16 | "defined_in": "https://doi.org/10.48550/arXiv.2406.15811", |
| 85 | "doi": "10.57702/7p5czilj", | 17 | "doi": "10.57702/7p5czilj", | ||
| 86 | "doi_date_published": "2024-11-25", | 18 | "doi_date_published": "2024-11-25", | ||
| 87 | "doi_publisher": "TIB", | 19 | "doi_publisher": "TIB", | ||
| 88 | "doi_status": true, | 20 | "doi_status": true, | ||
| 89 | "domain": "https://service.tib.eu/ldmservice", | 21 | "domain": "https://service.tib.eu/ldmservice", | ||
| 90 | "extra_authors": [ | 22 | "extra_authors": [ | ||
| 91 | { | 23 | { | ||
| n | n | 24 | "extra_author": "Thomas Funkhouser", | ||
| 25 | "orcid": "" | ||||
| 26 | }, | ||||
| 27 | { | ||||
| 28 | "extra_author": "Leonidas Guibas", | ||||
| 29 | "orcid": "" | ||||
| 30 | }, | ||||
| 31 | { | ||||
| 32 | "extra_author": "Pat Hanrahan", | ||||
| 33 | "orcid": "" | ||||
| 34 | }, | ||||
| 35 | { | ||||
| 36 | "extra_author": "Qixing Huang", | ||||
| 37 | "orcid": "" | ||||
| 38 | }, | ||||
| 39 | { | ||||
| 40 | "extra_author": "Zimo Li", | ||||
| 41 | "orcid": "" | ||||
| 42 | }, | ||||
| 43 | { | ||||
| 44 | "extra_author": "Silvio Savarese", | ||||
| 45 | "orcid": "" | ||||
| 46 | }, | ||||
| 47 | { | ||||
| 48 | "extra_author": "Manolis Savva", | ||||
| 49 | "orcid": "" | ||||
| 50 | }, | ||||
| 51 | { | ||||
| 52 | "extra_author": "Shuran Song", | ||||
| 53 | "orcid": "" | ||||
| 54 | }, | ||||
| 55 | { | ||||
| 92 | "extra_author": "Jun Gao", | 56 | "extra_author": "Hao Su", | ||
| 93 | "orcid": "" | ||||
| 94 | }, | ||||
| 95 | { | ||||
| 96 | "extra_author": "Kangxue Yin", | ||||
| 97 | "orcid": "" | ||||
| 98 | }, | ||||
| 99 | { | ||||
| 100 | "extra_author": "Ming-Yu Liu", | ||||
| 101 | "orcid": "" | ||||
| 102 | }, | ||||
| 103 | { | ||||
| 104 | "extra_author": "Sanja Fidler", | ||||
| 105 | "orcid": "" | 57 | "orcid": "" | ||
| 106 | } | 58 | } | ||
| 107 | ], | 59 | ], | ||
| 108 | "groups": [ | 60 | "groups": [ | ||
| 109 | { | 61 | { | ||
| 110 | "description": "", | 62 | "description": "", | ||
| n | 111 | "display_name": "3D Completion", | n | ||
| 112 | "id": "e7b1a79d-b6b9-4035-8a4a-a9fb52961e4a", | ||||
| 113 | "image_display_url": "", | ||||
| 114 | "name": "3d-completion", | ||||
| 115 | "title": "3D Completion" | ||||
| 116 | }, | ||||
| 117 | { | ||||
| 118 | "description": "", | ||||
| 119 | "display_name": "3D Data", | ||||
| 120 | "id": "75c2b2af-ff6b-4c10-9678-a19d3b6941ee", | ||||
| 121 | "image_display_url": "", | ||||
| 122 | "name": "3d-data", | ||||
| 123 | "title": "3D Data" | ||||
| 124 | }, | ||||
| 125 | { | ||||
| 126 | "description": "", | ||||
| 127 | "display_name": "3D Generation", | ||||
| 128 | "id": "f8dad7bf-dcdc-4f3a-b693-9f4d324beedf", | ||||
| 129 | "image_display_url": "", | ||||
| 130 | "name": "3d-generation", | ||||
| 131 | "title": "3D Generation" | ||||
| 132 | }, | ||||
| 133 | { | ||||
| 134 | "description": "", | ||||
| 135 | "display_name": "3D Human Reconstruction", | ||||
| 136 | "id": "5e77c75a-ae10-4669-b8e7-816471ec0d12", | ||||
| 137 | "image_display_url": "", | ||||
| 138 | "name": "3d-human-reconstruction", | ||||
| 139 | "title": "3D Human Reconstruction" | ||||
| 140 | }, | ||||
| 141 | { | ||||
| 142 | "description": "", | ||||
| 143 | "display_name": "3D Model Recognition", | 63 | "display_name": "3D Model Repository", | ||
| 144 | "id": "96f1301f-90de-4dcd-905e-87ccc41cfae1", | 64 | "id": "1aa78c09-9c31-49b7-9516-23751134d75a", | ||
| 145 | "image_display_url": "", | 65 | "image_display_url": "", | ||
| n | 146 | "name": "3d-model-recognition", | n | 66 | "name": "3d-model-repository", |
| 147 | "title": "3D Model Recognition" | 67 | "title": "3D Model Repository" | ||
| 148 | }, | 68 | }, | ||
| 149 | { | 69 | { | ||
| 150 | "description": "", | 70 | "description": "", | ||
| n | 151 | "display_name": "3D Model Retrieval", | n | ||
| 152 | "id": "1b36dbc6-dcd6-45a7-909d-f054f27fe8d6", | ||||
| 153 | "image_display_url": "", | ||||
| 154 | "name": "3d-model-retrieval", | ||||
| 155 | "title": "3D Model Retrieval" | ||||
| 156 | }, | ||||
| 157 | { | ||||
| 158 | "description": "", | ||||
| 159 | "display_name": "3D Object Classification", | ||||
| 160 | "id": "f998df1b-d1ee-44f1-a8c8-8cf63fbb7261", | ||||
| 161 | "image_display_url": "", | ||||
| 162 | "name": "3d-object-classification", | ||||
| 163 | "title": "3D Object Classification" | ||||
| 164 | }, | ||||
| 165 | { | ||||
| 166 | "description": "", | ||||
| 167 | "display_name": "3D Object Detection", | 71 | "display_name": "3D Object Dataset", | ||
| 168 | "id": "b9c5385e-2cc8-4698-95f2-a1528ebb0182", | 72 | "id": "3a4a8b86-ee97-402c-a8a9-2c632b5841d5", | ||
| 169 | "image_display_url": "", | 73 | "image_display_url": "", | ||
| n | 170 | "name": "3d-object-detection", | n | 74 | "name": "3d-object-dataset", |
| 171 | "title": "3D Object Detection" | 75 | "title": "3D Object Dataset" | ||
| 172 | }, | ||||
| 173 | { | ||||
| 174 | "description": "", | ||||
| 175 | "display_name": "3D Object Generation", | ||||
| 176 | "id": "43e4446c-c251-4a81-827b-c33a6a574390", | ||||
| 177 | "image_display_url": "", | ||||
| 178 | "name": "3d-object-generation", | ||||
| 179 | "title": "3D Object Generation" | ||||
| 180 | }, | 76 | }, | ||
| 181 | { | 77 | { | ||
| 182 | "description": "", | 78 | "description": "", | ||
| 183 | "display_name": "3D Object Recognition", | 79 | "display_name": "3D Object Recognition", | ||
| 184 | "id": "fb966b89-2ab8-4ac3-ae8e-55e18c4de9e1", | 80 | "id": "fb966b89-2ab8-4ac3-ae8e-55e18c4de9e1", | ||
| 185 | "image_display_url": "", | 81 | "image_display_url": "", | ||
| 186 | "name": "3d-object-recognition", | 82 | "name": "3d-object-recognition", | ||
| 187 | "title": "3D Object Recognition" | 83 | "title": "3D Object Recognition" | ||
| 188 | }, | 84 | }, | ||
| 189 | { | 85 | { | ||
| 190 | "description": "", | 86 | "description": "", | ||
| n | 191 | "display_name": "3D Object Reconstruction", | n | ||
| 192 | "id": "1501f86f-3b7f-42bd-a0f3-f53ac1414787", | ||||
| 193 | "image_display_url": "", | ||||
| 194 | "name": "3d-object-reconstruction", | ||||
| 195 | "title": "3D Object Reconstruction" | ||||
| 196 | }, | ||||
| 197 | { | ||||
| 198 | "description": "", | ||||
| 199 | "display_name": "3D Object Segmentation", | ||||
| 200 | "id": "a2f17c19-959c-41c7-9c45-5d3c3caccbfb", | ||||
| 201 | "image_display_url": "", | ||||
| 202 | "name": "3d-object-segmentation", | ||||
| 203 | "title": "3D Object Segmentation" | ||||
| 204 | }, | ||||
| 205 | { | ||||
| 206 | "description": "", | ||||
| 207 | "display_name": "3D Objects", | ||||
| 208 | "id": "dce503b7-e1ab-4ba9-be2b-f76c8c29b005", | ||||
| 209 | "image_display_url": "", | ||||
| 210 | "name": "3d-objects", | ||||
| 211 | "title": "3D Objects" | ||||
| 212 | }, | ||||
| 213 | { | ||||
| 214 | "description": "", | ||||
| 215 | "display_name": "3D Point Clouds", | ||||
| 216 | "id": "625c463b-8cb0-4180-af63-ed8448fb60dd", | ||||
| 217 | "image_display_url": "", | ||||
| 218 | "name": "3d-point-clouds", | ||||
| 219 | "title": "3D Point Clouds" | ||||
| 220 | }, | ||||
| 221 | { | ||||
| 222 | "description": "", | ||||
| 223 | "display_name": "3D Reconstruction", | 87 | "display_name": "3D Reconstruction", | ||
| 224 | "id": "4f8c7487-ad74-48b5-af62-efc1369527f9", | 88 | "id": "4f8c7487-ad74-48b5-af62-efc1369527f9", | ||
| 225 | "image_display_url": "", | 89 | "image_display_url": "", | ||
| 226 | "name": "3d-reconstruction", | 90 | "name": "3d-reconstruction", | ||
| 227 | "title": "3D Reconstruction" | 91 | "title": "3D Reconstruction" | ||
| 228 | }, | 92 | }, | ||
| 229 | { | 93 | { | ||
| 230 | "description": "", | 94 | "description": "", | ||
| n | 231 | "display_name": "3D Representation", | n | ||
| 232 | "id": "67d935f5-9654-4f78-83f7-48d9596dcfd2", | ||||
| 233 | "image_display_url": "", | ||||
| 234 | "name": "3d-representation", | ||||
| 235 | "title": "3D Representation" | ||||
| 236 | }, | ||||
| 237 | { | ||||
| 238 | "description": "", | ||||
| 239 | "display_name": "3D Scene Reconstruction", | ||||
| 240 | "id": "b4a67da3-165a-4e82-a50e-49bccd9d92f9", | ||||
| 241 | "image_display_url": "", | ||||
| 242 | "name": "3d-scene-reconstruction", | ||||
| 243 | "title": "3D Scene Reconstruction" | ||||
| 244 | }, | ||||
| 245 | { | ||||
| 246 | "description": "", | ||||
| 247 | "display_name": "3D Shape Abstraction", | ||||
| 248 | "id": "67a065b0-b915-4a32-9b31-12a6ef82d98b", | ||||
| 249 | "image_display_url": "", | ||||
| 250 | "name": "3d-shape-abstraction", | ||||
| 251 | "title": "3D Shape Abstraction" | ||||
| 252 | }, | ||||
| 253 | { | ||||
| 254 | "description": "", | ||||
| 255 | "display_name": "3D Shape Analysis", | ||||
| 256 | "id": "a09b211f-59de-4cd4-b517-823213819a63", | ||||
| 257 | "image_display_url": "", | ||||
| 258 | "name": "3d-shape-analysis", | ||||
| 259 | "title": "3D Shape Analysis" | ||||
| 260 | }, | ||||
| 261 | { | ||||
| 262 | "description": "", | ||||
| 263 | "display_name": "3D Shape Classification", | ||||
| 264 | "id": "275b704e-8ae8-4ac5-8110-a4d239a70be3", | ||||
| 265 | "image_display_url": "", | ||||
| 266 | "name": "3d-shape-classification", | ||||
| 267 | "title": "3D Shape Classification" | ||||
| 268 | }, | ||||
| 269 | { | ||||
| 270 | "description": "", | ||||
| 271 | "display_name": "3D Shape Completion", | ||||
| 272 | "id": "961a24d0-1ee9-4de6-8a50-f08ca5424262", | ||||
| 273 | "image_display_url": "", | ||||
| 274 | "name": "3d-shape-completion", | ||||
| 275 | "title": "3D Shape Completion" | ||||
| 276 | }, | ||||
| 277 | { | ||||
| 278 | "description": "", | ||||
| 279 | "display_name": "3D Shape Database", | ||||
| 280 | "id": "a6fecc8b-bc2c-4795-a482-899a0c5973a6", | ||||
| 281 | "image_display_url": "", | ||||
| 282 | "name": "3d-shape-database", | ||||
| 283 | "title": "3D Shape Database" | ||||
| 284 | }, | ||||
| 285 | { | ||||
| 286 | "description": "", | ||||
| 287 | "display_name": "3D Shape Generation", | ||||
| 288 | "id": "3a72b6ef-d56b-43d2-bcf4-1cca18b078e6", | ||||
| 289 | "image_display_url": "", | ||||
| 290 | "name": "3d-shape-generation", | ||||
| 291 | "title": "3D Shape Generation" | ||||
| 292 | }, | ||||
| 293 | { | ||||
| 294 | "description": "", | ||||
| 295 | "display_name": "3D Shape Matching", | ||||
| 296 | "id": "8fcc1d91-4345-4bda-af4b-09d8a4c16963", | ||||
| 297 | "image_display_url": "", | ||||
| 298 | "name": "3d-shape-matching", | ||||
| 299 | "title": "3D Shape Matching" | ||||
| 300 | }, | ||||
| 301 | { | ||||
| 302 | "description": "", | ||||
| 303 | "display_name": "3D Shape Recognition", | ||||
| 304 | "id": "3132c0b9-3221-46da-b30c-016ebd1b5c8c", | ||||
| 305 | "image_display_url": "", | ||||
| 306 | "name": "3d-shape-recognition", | ||||
| 307 | "title": "3D Shape Recognition" | ||||
| 308 | }, | ||||
| 309 | { | ||||
| 310 | "description": "", | ||||
| 311 | "display_name": "3D Shape Reconstruction", | ||||
| 312 | "id": "4b0cf4cd-18ca-4527-bf71-7452103afd83", | ||||
| 313 | "image_display_url": "", | ||||
| 314 | "name": "3d-shape-reconstruction", | ||||
| 315 | "title": "3D Shape Reconstruction" | ||||
| 316 | }, | ||||
| 317 | { | ||||
| 318 | "description": "", | ||||
| 319 | "display_name": "3D Shape Segmentation", | ||||
| 320 | "id": "8198f75c-5189-4d81-89df-f04aadff2985", | ||||
| 321 | "image_display_url": "", | ||||
| 322 | "name": "3d-shape-segmentation", | ||||
| 323 | "title": "3D Shape Segmentation" | ||||
| 324 | }, | ||||
| 325 | { | ||||
| 326 | "description": "", | ||||
| 327 | "display_name": "3D Shape Synthesis", | ||||
| 328 | "id": "8faa509f-f8bc-4d69-821f-23d6eccabd3b", | ||||
| 329 | "image_display_url": "", | ||||
| 330 | "name": "3d-shape-synthesis", | ||||
| 331 | "title": "3D Shape Synthesis" | ||||
| 332 | }, | ||||
| 333 | { | ||||
| 334 | "description": "", | ||||
| 335 | "display_name": "3D Shapes", | 95 | "display_name": "3D Shapes", | ||
| 336 | "id": "60b28ea5-ab84-41b9-8fcc-b0db78a51ec1", | 96 | "id": "60b28ea5-ab84-41b9-8fcc-b0db78a51ec1", | ||
| 337 | "image_display_url": "", | 97 | "image_display_url": "", | ||
| 338 | "name": "3d-shapes", | 98 | "name": "3d-shapes", | ||
| 339 | "title": "3D Shapes" | 99 | "title": "3D Shapes" | ||
| 340 | }, | 100 | }, | ||
| 341 | { | 101 | { | ||
| 342 | "description": "", | 102 | "description": "", | ||
| 343 | "display_name": "3D modeling", | 103 | "display_name": "3D modeling", | ||
| 344 | "id": "ea68db51-1d75-4260-aa8f-4f6b19338970", | 104 | "id": "ea68db51-1d75-4260-aa8f-4f6b19338970", | ||
| 345 | "image_display_url": "", | 105 | "image_display_url": "", | ||
| 346 | "name": "3d-modeling", | 106 | "name": "3d-modeling", | ||
| 347 | "title": "3D modeling" | 107 | "title": "3D modeling" | ||
| 348 | }, | 108 | }, | ||
| 349 | { | 109 | { | ||
| 350 | "description": "", | 110 | "description": "", | ||
| 351 | "display_name": "3D models", | 111 | "display_name": "3D models", | ||
| 352 | "id": "6de8d8be-69b8-4701-9b03-5d3f83d02902", | 112 | "id": "6de8d8be-69b8-4701-9b03-5d3f83d02902", | ||
| 353 | "image_display_url": "", | 113 | "image_display_url": "", | ||
| 354 | "name": "3d-models", | 114 | "name": "3d-models", | ||
| 355 | "title": "3D models" | 115 | "title": "3D models" | ||
| 356 | }, | 116 | }, | ||
| 357 | { | 117 | { | ||
| 358 | "description": "", | 118 | "description": "", | ||
| n | 359 | "display_name": "Chair Detection", | n | ||
| 360 | "id": "b74e0d58-7f8f-44b4-8aaa-47ae1ec6fc1d", | ||||
| 361 | "image_display_url": "", | ||||
| 362 | "name": "chair-detection", | ||||
| 363 | "title": "Chair Detection" | ||||
| 364 | }, | ||||
| 365 | { | ||||
| 366 | "description": "", | ||||
| 367 | "display_name": "Classification", | ||||
| 368 | "id": "57bb78f3-a48d-4716-a9cc-0028df74b1c5", | ||||
| 369 | "image_display_url": "", | ||||
| 370 | "name": "classification", | ||||
| 371 | "title": "Classification" | ||||
| 372 | }, | ||||
| 373 | { | ||||
| 374 | "description": "", | ||||
| 375 | "display_name": "Computer Vision", | 119 | "display_name": "Computer Vision", | ||
| 376 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | 120 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | ||
| 377 | "image_display_url": "", | 121 | "image_display_url": "", | ||
| 378 | "name": "computer-vision", | 122 | "name": "computer-vision", | ||
| 379 | "title": "Computer Vision" | 123 | "title": "Computer Vision" | ||
| 380 | }, | 124 | }, | ||
| 381 | { | 125 | { | ||
| 382 | "description": "", | 126 | "description": "", | ||
| n | 383 | "display_name": "Computer-Aided Design", | n | ||
| 384 | "id": "fb90253e-96f3-4472-8981-39cae27a58a2", | ||||
| 385 | "image_display_url": "", | ||||
| 386 | "name": "computer-aided-design", | ||||
| 387 | "title": "Computer-Aided Design" | ||||
| 388 | }, | ||||
| 389 | { | ||||
| 390 | "description": "", | ||||
| 391 | "display_name": "Everyday Objects", | ||||
| 392 | "id": "befddb42-135c-43d5-8b0f-7e5ff817e5ab", | ||||
| 393 | "image_display_url": "", | ||||
| 394 | "name": "everyday-objects", | ||||
| 395 | "title": "Everyday Objects" | ||||
| 396 | }, | ||||
| 397 | { | ||||
| 398 | "description": "", | ||||
| 399 | "display_name": "Meshes", | ||||
| 400 | "id": "4ebdc2c6-e836-414e-827c-e92553325c9e", | ||||
| 401 | "image_display_url": "", | ||||
| 402 | "name": "meshes", | ||||
| 403 | "title": "Meshes" | ||||
| 404 | }, | ||||
| 405 | { | ||||
| 406 | "description": "", | ||||
| 407 | "display_name": "Object Recognition", | 127 | "display_name": "Object Recognition", | ||
| 408 | "id": "1b471529-d821-46c3-8ac0-1ec99f0c80bc", | 128 | "id": "1b471529-d821-46c3-8ac0-1ec99f0c80bc", | ||
| 409 | "image_display_url": "", | 129 | "image_display_url": "", | ||
| 410 | "name": "object-recognition", | 130 | "name": "object-recognition", | ||
| 411 | "title": "Object Recognition" | 131 | "title": "Object Recognition" | ||
| 412 | }, | 132 | }, | ||
| 413 | { | 133 | { | ||
| 414 | "description": "", | 134 | "description": "", | ||
| n | 415 | "display_name": "Point Cloud Completion", | n | 135 | "display_name": "Object Reconstruction", |
| 416 | "id": "9dd5fe84-f3bf-4ca0-bb07-ae2d2f36db3a", | 136 | "id": "d63a053e-e3a5-4b7b-8254-0dd0547fb89f", | ||
| 417 | "image_display_url": "", | 137 | "image_display_url": "", | ||
| n | 418 | "name": "point-cloud-completion", | n | ||
| 419 | "title": "Point Cloud Completion" | ||||
| 420 | }, | ||||
| 421 | { | ||||
| 422 | "description": "", | ||||
| 423 | "display_name": "Point Cloud Processing", | ||||
| 424 | "id": "825ae687-705f-410b-97cd-7e6861e8e305", | ||||
| 425 | "image_display_url": "", | ||||
| 426 | "name": "point-cloud-processing", | ||||
| 427 | "title": "Point Cloud Processing" | ||||
| 428 | }, | ||||
| 429 | { | ||||
| 430 | "description": "", | ||||
| 431 | "display_name": "Point Clouds", | ||||
| 432 | "id": "71e868cb-bd30-4079-999e-4461dde9f071", | ||||
| 433 | "image_display_url": "", | ||||
| 434 | "name": "point-clouds", | ||||
| 435 | "title": "Point Clouds" | ||||
| 436 | }, | ||||
| 437 | { | ||||
| 438 | "description": "", | ||||
| 439 | "display_name": "Pose Estimation", | ||||
| 440 | "id": "6aa88bf7-744b-447b-9222-a360d7ac413d", | ||||
| 441 | "image_display_url": "", | ||||
| 442 | "name": "pose-estimation", | 138 | "name": "object-reconstruction", | ||
| 443 | "title": "Pose Estimation" | 139 | "title": "Object Reconstruction" | ||
| 444 | }, | 140 | }, | ||
| 445 | { | 141 | { | ||
| 446 | "description": "", | 142 | "description": "", | ||
| 447 | "display_name": "Scene Understanding", | 143 | "display_name": "Scene Understanding", | ||
| 448 | "id": "f3a9e19d-4b53-4b7d-bd4b-65c69132188a", | 144 | "id": "f3a9e19d-4b53-4b7d-bd4b-65c69132188a", | ||
| 449 | "image_display_url": "", | 145 | "image_display_url": "", | ||
| 450 | "name": "scene-understanding", | 146 | "name": "scene-understanding", | ||
| 451 | "title": "Scene Understanding" | 147 | "title": "Scene Understanding" | ||
| 452 | }, | 148 | }, | ||
| 453 | { | 149 | { | ||
| 454 | "description": "", | 150 | "description": "", | ||
| n | 455 | "display_name": "Semantic Segmentation", | n | ||
| 456 | "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", | ||||
| 457 | "image_display_url": "", | ||||
| 458 | "name": "semantic-segmentation", | ||||
| 459 | "title": "Semantic Segmentation" | ||||
| 460 | }, | ||||
| 461 | { | ||||
| 462 | "description": "", | ||||
| 463 | "display_name": "Shape Analysis", | ||||
| 464 | "id": "c5a0e9cd-fd95-4eb6-8f7e-21492f6f060d", | ||||
| 465 | "image_display_url": "", | ||||
| 466 | "name": "shape-analysis", | ||||
| 467 | "title": "Shape Analysis" | ||||
| 468 | }, | ||||
| 469 | { | ||||
| 470 | "description": "", | ||||
| 471 | "display_name": "Shape Completion", | ||||
| 472 | "id": "9f3b2a65-c4ea-48f5-8bb2-ffcb110001fc", | ||||
| 473 | "image_display_url": "", | ||||
| 474 | "name": "shape-completion", | ||||
| 475 | "title": "Shape Completion" | ||||
| 476 | }, | ||||
| 477 | { | ||||
| 478 | "description": "", | ||||
| 479 | "display_name": "Shape Generation", | ||||
| 480 | "id": "503b6ff7-8ab8-4fc1-b26e-557e295d2c8e", | ||||
| 481 | "image_display_url": "", | ||||
| 482 | "name": "shape-generation", | ||||
| 483 | "title": "Shape Generation" | ||||
| 484 | }, | ||||
| 485 | { | ||||
| 486 | "description": "", | ||||
| 487 | "display_name": "Shape Recognition", | ||||
| 488 | "id": "8fe8df3c-74f2-42a7-9a78-22dbe0a7658c", | ||||
| 489 | "image_display_url": "", | ||||
| 490 | "name": "shape-recognition", | ||||
| 491 | "title": "Shape Recognition" | ||||
| 492 | }, | ||||
| 493 | { | ||||
| 494 | "description": "", | ||||
| 495 | "display_name": "Shape Synthesis", | ||||
| 496 | "id": "1522e16e-7f35-468b-9170-224425fca447", | ||||
| 497 | "image_display_url": "", | ||||
| 498 | "name": "shape-synthesis", | ||||
| 499 | "title": "Shape Synthesis" | ||||
| 500 | }, | ||||
| 501 | { | ||||
| 502 | "description": "", | ||||
| 503 | "display_name": "Shape segmentation", | ||||
| 504 | "id": "e9adb537-0224-45e2-9599-695c6285f671", | ||||
| 505 | "image_display_url": "", | ||||
| 506 | "name": "shape-segmentation", | ||||
| 507 | "title": "Shape segmentation" | ||||
| 508 | }, | ||||
| 509 | { | ||||
| 510 | "description": "", | ||||
| 511 | "display_name": "ShapeNet", | 151 | "display_name": "ShapeNet", | ||
| 512 | "id": "90884a81-e433-45ae-b467-d51eac7c9835", | 152 | "id": "90884a81-e433-45ae-b467-d51eac7c9835", | ||
| 513 | "image_display_url": "", | 153 | "image_display_url": "", | ||
| 514 | "name": "shapenet", | 154 | "name": "shapenet", | ||
| 515 | "title": "ShapeNet" | 155 | "title": "ShapeNet" | ||
| n | n | 156 | }, | ||
| 157 | { | ||||
| 158 | "description": "", | ||||
| 159 | "display_name": "Textures", | ||||
| 160 | "id": "1c56dde9-3766-48da-8b16-dd55dcd02279", | ||||
| 161 | "image_display_url": "", | ||||
| 162 | "name": "textures", | ||||
| 163 | "title": "Textures" | ||||
| 516 | } | 164 | } | ||
| 517 | ], | 165 | ], | ||
| 518 | "id": "a622913d-cfc5-47ed-8ae5-66a4c78af6e6", | 166 | "id": "a622913d-cfc5-47ed-8ae5-66a4c78af6e6", | ||
| 519 | "isopen": false, | 167 | "isopen": false, | ||
| 520 | "landing_page": "https://shapenet.org/", | 168 | "landing_page": "https://shapenet.org/", | ||
| 521 | "license_title": null, | 169 | "license_title": null, | ||
| 522 | "link_orkg": "", | 170 | "link_orkg": "", | ||
| 523 | "metadata_created": "2024-11-25T14:20:47.940855", | 171 | "metadata_created": "2024-11-25T14:20:47.940855", | ||
| n | 524 | "metadata_modified": "2024-12-02T18:00:05.938584", | n | 172 | "metadata_modified": "2024-12-02T21:47:28.070924", |
| 525 | "name": "shapenet", | 173 | "name": "shapenet", | ||
| n | 526 | "notes": "Generating a 3D point cloud from a single 2D image is of | n | 174 | "notes": "Shapenet is a large-scale synthesis 3D object dataset, |
| 527 | great importance for 3D scene understanding applications. To | 175 | where we follow [9] to use the official test splits of chair, car, and | ||
| 528 | reconstruct the whole 3D shape of the object shown in the image, the | 176 | motorbike categories for evaluation since they contain relatively | ||
| 529 | existing deep learning based approaches use either explicit or | 177 | complex textures.", | ||
| 530 | implicit generative modeling of point clouds, which, however, suffer | ||||
| 531 | from limited quality.", | ||||
| 532 | "num_resources": 1, | 178 | "num_resources": 0, | ||
| 533 | "num_tags": 106, | 179 | "num_tags": 20, | ||
| 534 | "organization": { | 180 | "organization": { | ||
| 535 | "approval_status": "approved", | 181 | "approval_status": "approved", | ||
| 536 | "created": "2024-11-25T12:11:38.292601", | 182 | "created": "2024-11-25T12:11:38.292601", | ||
| 537 | "description": "", | 183 | "description": "", | ||
| 538 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 184 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 539 | "image_url": "", | 185 | "image_url": "", | ||
| 540 | "is_organization": true, | 186 | "is_organization": true, | ||
| 541 | "name": "no-organization", | 187 | "name": "no-organization", | ||
| 542 | "state": "active", | 188 | "state": "active", | ||
| 543 | "title": "No Organization", | 189 | "title": "No Organization", | ||
| 544 | "type": "organization" | 190 | "type": "organization" | ||
| 545 | }, | 191 | }, | ||
| 546 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 192 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 547 | "private": false, | 193 | "private": false, | ||
| 548 | "relationships_as_object": [], | 194 | "relationships_as_object": [], | ||
| 549 | "relationships_as_subject": [], | 195 | "relationships_as_subject": [], | ||
| n | 550 | "resources": [ | n | 196 | "resources": [], |
| 551 | { | ||||
| 552 | "cache_last_updated": null, | ||||
| 553 | "cache_url": null, | ||||
| 554 | "created": "2024-12-02T18:38:42", | ||||
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| 557 | "dcterms:accessRights", | ||||
| 558 | "dcterms:creator", | ||||
| 559 | "dcterms:description", | ||||
| 560 | "dcterms:issued", | ||||
| 561 | "dcterms:language", | ||||
| 562 | "dcterms:identifier", | ||||
| 563 | "dcat:theme", | ||||
| 564 | "dcterms:type", | ||||
| 565 | "dcat:keyword", | ||||
| 566 | "dcat:landingPage", | ||||
| 567 | "dcterms:hasVersion", | ||||
| 568 | "dcterms:format", | ||||
| 569 | "mls:task", | ||||
| 570 | "datacite:isDescribedBy" | ||||
| 571 | ], | ||||
| 572 | "description": "The json representation of the dataset with its | ||||
| 573 | distributions based on DCAT.", | ||||
| 574 | "format": "JSON", | ||||
| 575 | "hash": "", | ||||
| 576 | "id": "f1d7e5e7-99d6-4937-a654-eb808aae3213", | ||||
| 577 | "last_modified": "2024-12-02T18:00:05.913964", | ||||
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| 579 | "mimetype": "application/json", | ||||
| 580 | "mimetype_inner": null, | ||||
| 581 | "name": "Original Metadata", | ||||
| 582 | "package_id": "a622913d-cfc5-47ed-8ae5-66a4c78af6e6", | ||||
| 583 | "position": 0, | ||||
| 584 | "resource_type": null, | ||||
| 585 | "size": 7811, | ||||
| 586 | "state": "active", | ||||
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| 588 | resource/f1d7e5e7-99d6-4937-a654-eb808aae3213/download/metadata.json", | ||||
| 589 | "url_type": "upload" | ||||
| 590 | } | ||||
| 591 | ], | ||||
| 592 | "services_used_list": "", | 197 | "services_used_list": "", | ||
| 593 | "state": "active", | 198 | "state": "active", | ||
| 594 | "tags": [ | 199 | "tags": [ | ||
| 595 | { | 200 | { | ||
| n | 596 | "display_name": "3D", | n | ||
| 597 | "id": "c98a3ca2-e5c9-4173-93fb-420e0b48e9d8", | ||||
| 598 | "name": "3D", | ||||
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| 603 | "display_name": "3D Completion", | ||||
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| 605 | "name": "3D Completion", | ||||
| 606 | "state": "active", | ||||
| 607 | "vocabulary_id": null | ||||
| 608 | }, | ||||
| 609 | { | ||||
| 610 | "display_name": "3D Data", | ||||
| 611 | "id": "32e47093-3554-42d9-a29d-e76162a3c240", | ||||
| 612 | "name": "3D Data", | ||||
| 613 | "state": "active", | ||||
| 614 | "vocabulary_id": null | ||||
| 615 | }, | ||||
| 616 | { | ||||
| 617 | "display_name": "3D Dataset", | ||||
| 618 | "id": "ff3c95b5-1d0d-46c2-855b-fd2ae81975b5", | ||||
| 619 | "name": "3D Dataset", | ||||
| 620 | "state": "active", | ||||
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| 622 | }, | ||||
| 623 | { | ||||
| 624 | "display_name": "3D Generation", | ||||
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| 626 | "name": "3D Generation", | ||||
| 627 | "state": "active", | ||||
| 628 | "vocabulary_id": null | ||||
| 629 | }, | ||||
| 630 | { | ||||
| 631 | "display_name": "3D Human Reconstruction", | ||||
| 632 | "id": "64c430e2-4d20-44f0-8426-4d373bed3f6c", | ||||
| 633 | "name": "3D Human Reconstruction", | ||||
| 634 | "state": "active", | ||||
| 635 | "vocabulary_id": null | ||||
| 636 | }, | ||||
| 637 | { | ||||
| 638 | "display_name": "3D Model Recognition", | ||||
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| 640 | "name": "3D Model Recognition", | ||||
| 641 | "state": "active", | ||||
| 642 | "vocabulary_id": null | ||||
| 643 | }, | ||||
| 644 | { | ||||
| 645 | "display_name": "3D Model Retrieval", | ||||
| 646 | "id": "06e6b78c-1432-41a4-91f6-893d6f4270f1", | ||||
| 647 | "name": "3D Model Retrieval", | ||||
| 648 | "state": "active", | ||||
| 649 | "vocabulary_id": null | ||||
| 650 | }, | ||||
| 651 | { | ||||
| 652 | "display_name": "3D Modeling", | ||||
| 653 | "id": "1b61286d-f772-420b-846a-812368d4f75d", | ||||
| 654 | "name": "3D Modeling", | ||||
| 655 | "state": "active", | ||||
| 656 | "vocabulary_id": null | ||||
| 657 | }, | ||||
| 658 | { | ||||
| 659 | "display_name": "3D Models", | 201 | "display_name": "3D Models", | ||
| 660 | "id": "c8bc62a3-c36d-4af0-8ab9-77b2dca2dfe5", | 202 | "id": "c8bc62a3-c36d-4af0-8ab9-77b2dca2dfe5", | ||
| 661 | "name": "3D Models", | 203 | "name": "3D Models", | ||
| 662 | "state": "active", | 204 | "state": "active", | ||
| 663 | "vocabulary_id": null | 205 | "vocabulary_id": null | ||
| 664 | }, | 206 | }, | ||
| 665 | { | 207 | { | ||
| 666 | "display_name": "3D Object", | 208 | "display_name": "3D Object", | ||
| 667 | "id": "8009a828-f9e0-48e5-9e3e-6d5ce9cd254d", | 209 | "id": "8009a828-f9e0-48e5-9e3e-6d5ce9cd254d", | ||
| 668 | "name": "3D Object", | 210 | "name": "3D Object", | ||
| 669 | "state": "active", | 211 | "state": "active", | ||
| 670 | "vocabulary_id": null | 212 | "vocabulary_id": null | ||
| 671 | }, | 213 | }, | ||
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| 679 | { | 221 | { | ||
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| 682 | "name": "3D Object Reconstruction", | ||||
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| 717 | "name": "3D Shape Generation", | ||||
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| 752 | "name": "3D modeling", | 238 | "name": "3D model", | ||
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| 755 | }, | 241 | }, | ||
| 756 | { | 242 | { | ||
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| 763 | { | 249 | { | ||
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| 952 | { | 284 | { | ||
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| 962 | "name": "Part Segmentation", | ||||
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| 976 | "name": "Point Clouds", | ||||
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| 980 | { | ||||
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| 983 | "name": "Point clouds", | ||||
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| 990 | "name": "Recognition", | 287 | "name": "Repository", | ||
| 991 | "state": "active", | 288 | "state": "active", | ||
| 992 | "vocabulary_id": null | 289 | "vocabulary_id": null | ||
| 993 | }, | 290 | }, | ||
| 994 | { | 291 | { | ||
| n | 995 | "display_name": "Segmentation", | n | 292 | "display_name": "Scene Understanding", |
| 996 | "id": "afba543e-f91f-4800-834e-77535c9e8dac", | 293 | "id": "d066cee5-d8a2-4d28-ba93-a32fa6a30b26", | ||
| 997 | "name": "Segmentation", | 294 | "name": "Scene Understanding", | ||
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| 1000 | }, | ||||
| 1001 | { | ||||
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| 1008 | { | ||||
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| 1011 | "name": "Semantic Segmentation", | ||||
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| 1015 | { | ||||
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| 1021 | }, | ||||
| 1022 | { | ||||
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| 1025 | "name": "Shape Classification", | ||||
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| 1028 | }, | ||||
| 1029 | { | ||||
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| 1032 | "name": "Shape Completion", | ||||
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| 1036 | { | ||||
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| 1039 | "name": "Shape Recognition", | ||||
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| 1042 | }, | ||||
| 1043 | { | ||||
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| 1046 | "name": "Shape Synthesis", | ||||
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| 1049 | }, | 297 | }, | ||
| 1050 | { | 298 | { | ||
| 1051 | "display_name": "ShapeNet", | 299 | "display_name": "ShapeNet", | ||
| 1052 | "id": "75385003-130a-429e-bbb3-30752d26783c", | 300 | "id": "75385003-130a-429e-bbb3-30752d26783c", | ||
| 1053 | "name": "ShapeNet", | 301 | "name": "ShapeNet", | ||
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| 1056 | }, | 304 | }, | ||
| 1057 | { | 305 | { | ||
| n | 1058 | "display_name": "ShapeNet dataset", | n | 306 | "display_name": "Shapenet", |
| 1059 | "id": "2217ec1d-f2c0-4055-b0ff-4c9f0d254173", | 307 | "id": "48c4fc32-552b-45af-92b6-c2d4c63664d2", | ||
| 1060 | "name": "ShapeNet dataset", | 308 | "name": "Shapenet", | ||
| 1061 | "state": "active", | 309 | "state": "active", | ||
| 1062 | "vocabulary_id": null | 310 | "vocabulary_id": null | ||
| 1063 | }, | 311 | }, | ||
| 1064 | { | 312 | { | ||
| n | 1065 | "display_name": "Single Depth View", | n | ||
| 1066 | "id": "fdece95a-e8a8-474e-891e-dbf943fb41b0", | ||||
| 1067 | "name": "Single Depth View", | ||||
| 1068 | "state": "active", | ||||
| 1069 | "vocabulary_id": null | ||||
| 1070 | }, | ||||
| 1071 | { | ||||
| 1072 | "display_name": "category annotations", | ||||
| 1073 | "id": "91b4f9a5-98c3-46aa-9478-cedf026ee4bf", | ||||
| 1074 | "name": "category annotations", | ||||
| 1075 | "state": "active", | ||||
| 1076 | "vocabulary_id": null | ||||
| 1077 | }, | ||||
| 1078 | { | ||||
| 1079 | "display_name": "chair detection", | ||||
| 1080 | "id": "aa85b745-c2e7-4964-857d-88b5b4e55c7c", | ||||
| 1081 | "name": "chair detection", | ||||
| 1082 | "state": "active", | ||||
| 1083 | "vocabulary_id": null | ||||
| 1084 | }, | ||||
| 1085 | { | ||||
| 1086 | "display_name": "classification", | ||||
| 1087 | "id": "30b96a8e-ded8-465e-9a77-e4163624d903", | ||||
| 1088 | "name": "classification", | ||||
| 1089 | "state": "active", | ||||
| 1090 | "vocabulary_id": null | ||||
| 1091 | }, | ||||
| 1092 | { | ||||
| 1093 | "display_name": "color attributes", | ||||
| 1094 | "id": "32ea1b2e-93a3-47fc-891a-aa8416b5239c", | ||||
| 1095 | "name": "color attributes", | ||||
| 1096 | "state": "active", | ||||
| 1097 | "vocabulary_id": null | ||||
| 1098 | }, | ||||
| 1099 | { | ||||
| 1100 | "display_name": "computer vision", | ||||
| 1101 | "id": "f650b4e3-9955-49b0-ba7b-2d302a990978", | ||||
| 1102 | "name": "computer vision", | ||||
| 1103 | "state": "active", | ||||
| 1104 | "vocabulary_id": null | ||||
| 1105 | }, | ||||
| 1106 | { | ||||
| 1107 | "display_name": "dense point clouds", | ||||
| 1108 | "id": "a417c8bf-89b6-4fee-8b8c-8c92ba411bab", | ||||
| 1109 | "name": "dense point clouds", | ||||
| 1110 | "state": "active", | ||||
| 1111 | "vocabulary_id": null | ||||
| 1112 | }, | ||||
| 1113 | { | ||||
| 1114 | "display_name": "everyday objects", | ||||
| 1115 | "id": "58693dce-5467-4d02-8f1e-fbdf85bf390e", | ||||
| 1116 | "name": "everyday objects", | ||||
| 1117 | "state": "active", | ||||
| 1118 | "vocabulary_id": null | ||||
| 1119 | }, | ||||
| 1120 | { | ||||
| 1121 | "display_name": "image interpolation", | ||||
| 1122 | "id": "1028cf47-9d96-4250-8816-963a197a1708", | ||||
| 1123 | "name": "image interpolation", | ||||
| 1124 | "state": "active", | ||||
| 1125 | "vocabulary_id": null | ||||
| 1126 | }, | ||||
| 1127 | { | ||||
| 1128 | "display_name": "indoor scenes", | 313 | "display_name": "Textures", | ||
| 1129 | "id": "7c39b0f6-b707-459a-9d7e-7e2625177b9f", | 314 | "id": "a03fc941-9673-416d-b3b5-ad726a3029c4", | ||
| 1130 | "name": "indoor scenes", | 315 | "name": "Textures", | ||
| 1131 | "state": "active", | ||||
| 1132 | "vocabulary_id": null | ||||
| 1133 | }, | ||||
| 1134 | { | ||||
| 1135 | "display_name": "multiple categories", | ||||
| 1136 | "id": "f7b34752-7efa-4d01-bd2d-a310333e8f62", | ||||
| 1137 | "name": "multiple categories", | ||||
| 1138 | "state": "active", | ||||
| 1139 | "vocabulary_id": null | ||||
| 1140 | }, | ||||
| 1141 | { | ||||
| 1142 | "display_name": "nonparametric Bayesian inference", | ||||
| 1143 | "id": "cebe36c8-6ade-4f75-9a96-9bff1129ddcc", | ||||
| 1144 | "name": "nonparametric Bayesian inference", | ||||
| 1145 | "state": "active", | ||||
| 1146 | "vocabulary_id": null | ||||
| 1147 | }, | ||||
| 1148 | { | ||||
| 1149 | "display_name": "object generation", | ||||
| 1150 | "id": "0d8384a1-1666-460d-8e07-464ad6910c5c", | ||||
| 1151 | "name": "object generation", | ||||
| 1152 | "state": "active", | 316 | "state": "active", | ||
| 1153 | "vocabulary_id": null | 317 | "vocabulary_id": null | ||
| 1154 | }, | 318 | }, | ||
| 1155 | { | 319 | { | ||
| 1156 | "display_name": "object recognition", | 320 | "display_name": "object recognition", | ||
| 1157 | "id": "cbac3f3d-b235-44b0-8bfb-30bf00e44b8c", | 321 | "id": "cbac3f3d-b235-44b0-8bfb-30bf00e44b8c", | ||
| 1158 | "name": "object recognition", | 322 | "name": "object recognition", | ||
| 1159 | "state": "active", | 323 | "state": "active", | ||
| 1160 | "vocabulary_id": null | 324 | "vocabulary_id": null | ||
| 1161 | }, | 325 | }, | ||
| 1162 | { | 326 | { | ||
| n | 1163 | "display_name": "object reconstruction", | n | ||
| 1164 | "id": "36b74b74-3fdb-4e59-ac82-728adf5cf7b2", | ||||
| 1165 | "name": "object reconstruction", | ||||
| 1166 | "state": "active", | ||||
| 1167 | "vocabulary_id": null | ||||
| 1168 | }, | ||||
| 1169 | { | ||||
| 1170 | "display_name": "partially occluded objects", | ||||
| 1171 | "id": "ff4d4c04-e5b0-43a0-a9ab-ff1a59b25409", | ||||
| 1172 | "name": "partially occluded objects", | ||||
| 1173 | "state": "active", | ||||
| 1174 | "vocabulary_id": null | ||||
| 1175 | }, | ||||
| 1176 | { | ||||
| 1177 | "display_name": "point cloud", | ||||
| 1178 | "id": "fcb968fe-38b8-4b04-a049-e69bcf7b9f19", | ||||
| 1179 | "name": "point cloud", | ||||
| 1180 | "state": "active", | ||||
| 1181 | "vocabulary_id": null | ||||
| 1182 | }, | ||||
| 1183 | { | ||||
| 1184 | "display_name": "point cloud completion", | ||||
| 1185 | "id": "3578bc16-efc7-43fb-90ee-ec33e3a89fa4", | ||||
| 1186 | "name": "point cloud completion", | ||||
| 1187 | "state": "active", | ||||
| 1188 | "vocabulary_id": null | ||||
| 1189 | }, | ||||
| 1190 | { | ||||
| 1191 | "display_name": "point cloud processing", | ||||
| 1192 | "id": "bc6de1e4-57f0-4f35-a03a-b35073d5df48", | ||||
| 1193 | "name": "point cloud processing", | ||||
| 1194 | "state": "active", | ||||
| 1195 | "vocabulary_id": null | ||||
| 1196 | }, | ||||
| 1197 | { | ||||
| 1198 | "display_name": "point clouds", | 327 | "display_name": "point clouds", | ||
| 1199 | "id": "c904c4ed-90b6-4e26-99e0-5201bce31b75", | 328 | "id": "c904c4ed-90b6-4e26-99e0-5201bce31b75", | ||
| 1200 | "name": "point clouds", | 329 | "name": "point clouds", | ||
| 1201 | "state": "active", | 330 | "state": "active", | ||
| 1202 | "vocabulary_id": null | 331 | "vocabulary_id": null | ||
| 1203 | }, | 332 | }, | ||
| 1204 | { | 333 | { | ||
| n | 1205 | "display_name": "segmentation", | n | ||
| 1206 | "id": "7ce0e509-9f57-44c4-a015-f1ab9872bb44", | ||||
| 1207 | "name": "segmentation", | ||||
| 1208 | "state": "active", | ||||
| 1209 | "vocabulary_id": null | ||||
| 1210 | }, | ||||
| 1211 | { | ||||
| 1212 | "display_name": "semantic annotations", | ||||
| 1213 | "id": "4647d118-47dd-4b51-a8eb-180ff5f6de26", | ||||
| 1214 | "name": "semantic annotations", | ||||
| 1215 | "state": "active", | ||||
| 1216 | "vocabulary_id": null | ||||
| 1217 | }, | ||||
| 1218 | { | ||||
| 1219 | "display_name": "shape abstraction", | ||||
| 1220 | "id": "8f7fe847-ac78-4a4f-85ce-01c2c4734d27", | ||||
| 1221 | "name": "shape abstraction", | ||||
| 1222 | "state": "active", | ||||
| 1223 | "vocabulary_id": null | ||||
| 1224 | }, | ||||
| 1225 | { | ||||
| 1226 | "display_name": "shape classification", | ||||
| 1227 | "id": "5e942fb6-8cd1-4fec-bd47-85b57a5bea9c", | ||||
| 1228 | "name": "shape classification", | ||||
| 1229 | "state": "active", | ||||
| 1230 | "vocabulary_id": null | ||||
| 1231 | }, | ||||
| 1232 | { | ||||
| 1233 | "display_name": "shape completion", | ||||
| 1234 | "id": "c4cbeb54-a5f3-4892-904c-2326690fd7c5", | ||||
| 1235 | "name": "shape completion", | ||||
| 1236 | "state": "active", | ||||
| 1237 | "vocabulary_id": null | ||||
| 1238 | }, | ||||
| 1239 | { | ||||
| 1240 | "display_name": "shape generation", | ||||
| 1241 | "id": "f3696606-3813-47c2-97df-31332e6d6a31", | ||||
| 1242 | "name": "shape generation", | ||||
| 1243 | "state": "active", | ||||
| 1244 | "vocabulary_id": null | ||||
| 1245 | }, | ||||
| 1246 | { | ||||
| 1247 | "display_name": "shape matching", | ||||
| 1248 | "id": "60ce0f09-7901-4005-81ba-fac95a8bda5c", | ||||
| 1249 | "name": "shape matching", | ||||
| 1250 | "state": "active", | ||||
| 1251 | "vocabulary_id": null | ||||
| 1252 | }, | ||||
| 1253 | { | ||||
| 1254 | "display_name": "shape priors", | ||||
| 1255 | "id": "68885b01-0399-4988-a0a9-72ed6b95068c", | ||||
| 1256 | "name": "shape priors", | ||||
| 1257 | "state": "active", | ||||
| 1258 | "vocabulary_id": null | ||||
| 1259 | }, | ||||
| 1260 | { | ||||
| 1261 | "display_name": "shape recognition", | ||||
| 1262 | "id": "7a5d3e66-4990-4fba-9d63-bfeda9defa76", | ||||
| 1263 | "name": "shape recognition", | ||||
| 1264 | "state": "active", | ||||
| 1265 | "vocabulary_id": null | ||||
| 1266 | }, | ||||
| 1267 | { | ||||
| 1268 | "display_name": "shape reconstruction", | ||||
| 1269 | "id": "b6c8ec0c-d85d-45a8-9d50-b5e08818ce87", | ||||
| 1270 | "name": "shape reconstruction", | ||||
| 1271 | "state": "active", | ||||
| 1272 | "vocabulary_id": null | ||||
| 1273 | }, | ||||
| 1274 | { | ||||
| 1275 | "display_name": "shape retrieval", | ||||
| 1276 | "id": "ea3c7cb7-ab35-4560-adda-95e01c6e0358", | ||||
| 1277 | "name": "shape retrieval", | ||||
| 1278 | "state": "active", | ||||
| 1279 | "vocabulary_id": null | ||||
| 1280 | }, | ||||
| 1281 | { | ||||
| 1282 | "display_name": "shape segmentation", | ||||
| 1283 | "id": "3cd2cc59-042e-4933-bd70-530340eab16b", | ||||
| 1284 | "name": "shape segmentation", | ||||
| 1285 | "state": "active", | ||||
| 1286 | "vocabulary_id": null | ||||
| 1287 | }, | ||||
| 1288 | { | ||||
| 1289 | "display_name": "shape synthesis", | ||||
| 1290 | "id": "cc44867a-e14f-4913-91f4-d9b5256cebb7", | ||||
| 1291 | "name": "shape synthesis", | ||||
| 1292 | "state": "active", | ||||
| 1293 | "vocabulary_id": null | ||||
| 1294 | }, | ||||
| 1295 | { | ||||
| 1296 | "display_name": "single RGB images", | ||||
| 1297 | "id": "83db03c8-d8f0-4664-b378-0066b2ff0769", | ||||
| 1298 | "name": "single RGB images", | ||||
| 1299 | "state": "active", | ||||
| 1300 | "vocabulary_id": null | ||||
| 1301 | }, | ||||
| 1302 | { | ||||
| 1303 | "display_name": "texture maps", | ||||
| 1304 | "id": "390fb12e-615a-471a-aff5-48bbd8ddf2bd", | ||||
| 1305 | "name": "texture maps", | ||||
| 1306 | "state": "active", | ||||
| 1307 | "vocabulary_id": null | ||||
| 1308 | }, | ||||
| 1309 | { | ||||
| 1310 | "display_name": "textures", | 334 | "display_name": "repository", | ||
| 1311 | "id": "ec04c6c4-3b26-4ee5-8d34-8bf97493e678", | 335 | "id": "87722647-f0bb-42f4-9108-22c6289c038e", | ||
| 1312 | "name": "textures", | 336 | "name": "repository", | ||
| 1313 | "state": "active", | ||||
| 1314 | "vocabulary_id": null | ||||
| 1315 | }, | ||||
| 1316 | { | ||||
| 1317 | "display_name": "topology", | ||||
| 1318 | "id": "e1d1eb4d-bdd2-47f1-ac2b-3e253576b8f4", | ||||
| 1319 | "name": "topology", | ||||
| 1320 | "state": "active", | ||||
| 1321 | "vocabulary_id": null | ||||
| 1322 | }, | ||||
| 1323 | { | ||||
| 1324 | "display_name": "variational autoencoders", | ||||
| 1325 | "id": "3b7ed374-be8b-4b1b-b200-239daa2c3f8b", | ||||
| 1326 | "name": "variational autoencoders", | ||||
| 1327 | "state": "active", | ||||
| 1328 | "vocabulary_id": null | ||||
| 1329 | }, | ||||
| 1330 | { | ||||
| 1331 | "display_name": "voxels", | ||||
| 1332 | "id": "ac1881ad-085b-491a-91a0-98e0e7891763", | ||||
| 1333 | "name": "voxels", | ||||
| 1334 | "state": "active", | 337 | "state": "active", | ||
| 1335 | "vocabulary_id": null | 338 | "vocabulary_id": null | ||
| 1336 | } | 339 | } | ||
| 1337 | ], | 340 | ], | ||
| t | 1338 | "title": "ShapeNet", | t | 341 | "title": "Shapenet", |
| 1339 | "type": "dataset", | 342 | "type": "dataset", | ||
| 1340 | "version": "" | 343 | "version": "" | ||
| 1341 | } | 344 | } |