18 datasets found

Formats: JSON Tags: Indoor Scenes

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  • 3D Semantic Parsing of Large-Scale Indoor Spaces

    3D semantic parsing of large-scale indoor spaces.

  • MonoSelfRecon

    MonoSelfRecon: Purely Self-Supervised Explicit Generalizable 3D Reconstruction of Indoor Scenes from Monocular RGB Views

  • Middlebury 2014

    The Middlebury 2014 dataset is a benchmark for stereo matching, consisting of 33 pairs of stereo images with sparse depth ground truth.

  • RIO-10 dataset

    The RIO-10 dataset contains 10 real indoor environments with varying lighting conditions, camera positions, and object arrangements.

  • NYUD-v2

    The NYUD-v2 dataset is a benchmark for indoor scene segmentation and depth estimation. It contains 1449 images with 4 tasks: semantic segmentation, depth estimation, surface...

  • Scan2CAD

    The Scan2CAD dataset contains object-level human-generated annotations. The annotations include category label, segmentation, a similar CAD model in ShapeNet, and the...

  • SUN3D

    SUN3D dataset is a large-scale dataset of RGB-D scans of indoor scenes.

  • Scannet: Richly-annotated 3D reconstructions of indoor scenes

    Scannet: Richly-annotated 3D reconstructions of indoor scenes.

  • 3DMatch

    The 3DMatch [26] is a well-known indoor registration dataset of 62 scenes captured by RGBD sensor.

  • ScanNetV2

    The dataset used in the paper is ScanNetV2, a real-world dataset for indoor scenes. It contains 1205 training scenes and 312 testing scenes, with instance-level object bounding...

  • SceneFlow

    Large dataset for stereo matching, optical flow, and scene flow estimation

  • 3D-FRONT

    3D-FRONT is a synthetic dataset composed of 6,813 houses with 14,629 rooms, where each room is arranged by a collection of high-quality 3D furniture objects from the 3D-FUTURE...

  • Scannet

    The dataset used for training and testing the proposed RGBD-based obstacle avoidance system for visually impaired people.

  • SUN-RGBD

    The dataset is used for indoor scene understanding and contains RGB and depth images.

  • Indoor Segmentation and Support Inference from RGB-D Images

    Indoor segmentation and support inference from RGB-D images.

  • NYUv2

    Multi-task learning (MTL) research is broadly divided into two categories: one is to learn the correlation between tasks through model structures, and the other is to balance...

  • ScanNet Dataset

    The ScanNet dataset is a large-scale indoor dataset composed of monocular sequences with ground truth poses and depth images.

  • S3DIS

    The dataset used in the paper is a real-world 3D point cloud dataset, which is used for 3D shape classification, part segmentation, and shape retrieval tasks.
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