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KITTI 2012 and 2015 datasets
The KITTI 2012 and 2015 datasets are used for stereo matching experiments. -
MobileBrick
The MobileBrick dataset contains videos of LEGO models, with corresponding 3D ground-truth meshes. -
PointRegGPT
A novel 3D point cloud registration framework that boosts models with generative data for improved performance. -
mip-NeRF 360 dataset
The mip-NeRF 360 dataset contains 360-degree panoramic images of indoor and outdoor scenes. -
RawNeRF dataset
Our dataset contains 7 real-world nighttime scenes captured with cell phones, with varying exposure and lighting conditions. -
Shapenet: An Information-Rich 3D Model Repository
A large-scale 3D model repository containing over 16,000 3D models. -
DTU, BlendMVS, and H3DS datasets
The DTU, BlendMVS, and H3DS datasets are used for evaluating the performance of the VQ-NeRF method. -
Seeing 3D chairs: exemplar part-based 2D-3D alignment using a large dataset o...
Seeing 3D chairs: exemplar part-based 2D-3D alignment using a large dataset of CAD models -
Falling-Shoe
A synthetic dataset of shoes for training and testing the proposed method. -
Centered-Shoe
A unified object-centric implicit representation that can be used for RGB and depth novel view rendering, 3D reconstruction, and proposing stable grasps. -
LERF dataset
The LERF dataset is a dataset for 3D scene understanding, where the goal is to reconstruct and segment 3D scenes. The dataset is constructed by capturing 360-degree views of 9... -
YCB-Video dataset
The YCB-Video dataset contains 92 videos of 21 objects with varying textures and sizes under cluttered indoor environments. -
LINEMOD-OCCLUSION dataset
The LMO dataset is a subset of the LM dataset consisting of eight objects in more cluttered scenes. -
LINEMOD dataset
The LM consists of 13 objects with approximately 1.2K images per object. We follow the settings described in [2], which uses 15% of the data for training and the rest for testing. -
Patient Data
A dataset of patient data for evaluating the performance of the proposed method.