facebookresearch / 3D-Vision-and-Touch
When told to understand the shape of a new object, the most instinctual approach is to pick it up and inspect it with your hand and eyes in tandem. Here, touch provides high fidelity localized information while vision provides complementary global context. However, in 3D shape reconstruction, the complementary fusion of visual and haptic modalit…
☆68Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for 3D-Vision-and-Touch
- Release of the YCB-Affordance dataset (CVPR 2020 Oral)☆58Updated 4 years ago
- Code for CVPR 2019 paper "ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging"☆37Updated 2 months ago
- Code for Ditto: Building Digital Twins of Articulated Objects from Interaction☆107Updated last year
- Code for "Single-view robot pose and joint angle estimation via render & compare", CVPR 2021 (Oral).☆66Updated 3 years ago
- ObjectFolder Dataset☆150Updated 2 years ago
- A PyTorch criterion for computing the distance between rotation matrices.☆35Updated last year
- Use the Force Luke! Learning to Predict Physical Forces by Simulating Effects [CVPR2020] (https://arxiv.org/pdf/2003.12045.pdf)☆72Updated last year
- [CVPR 2020, Oral] Category-Level Articulated Object Pose Estimation☆111Updated 3 months ago
- A Python package that provides evaluation and visualization tools for the DexYCB dataset☆152Updated 2 years ago
- ☆75Updated 2 years ago
- Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes☆36Updated 2 years ago
- A Pytorch implementation of the bps code using chamfer distance on GPU☆59Updated 6 months ago
- ☆127Updated 3 years ago
- PyTorch implementation for the paper GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes (CVPR 2020 Oral)☆73Updated 3 years ago
- Implementation of the method proposed in the paper "Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation"☆219Updated 2 years ago
- Porting the MANO hand model to the PyBullet simulator☆78Updated 2 years ago
- An official implementation of the paper, Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images☆32Updated 4 years ago
- MANO hand model porting for the GraspIt simulator☆59Updated 4 years ago
- HOPE-Image and HOPE-Video 6-DOF pose datasets.☆57Updated last year
- Simulating Kinect Noise: adding noise to clean depth-maps rendered with a graphics engine.☆77Updated 4 years ago
- Code for paper Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity☆25Updated 3 years ago
- Code release for our paper, "SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo"☆78Updated 3 years ago
- SafePicking: Learning Safe Object Extraction via Object-Level Mapping, ICRA 2022☆53Updated 2 years ago
- SynPick dataset generator☆12Updated 3 years ago
- hand-object contact models for ContactPose☆17Updated 4 years ago
- LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation☆214Updated 2 years ago
- Where2Act: From Pixels to Actions for Articulated 3D Objects☆106Updated last year
- [NeurIPS 2021], self-supervised 6D pose on category level☆88Updated 2 years ago
- ☆13Updated 4 years ago
- ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation☆66Updated 2 years ago