pairlab / NSMLinks
[CVPR 2022] Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors
☆31Updated 2 years ago
Alternatives and similar repositories for NSM
Users that are interested in NSM are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2021], self-supervised 6D pose on category level☆94Updated 3 years ago
- [NeurIPS 2023] Jigsaw: Learning to Assemble Multiple Fractured Objects☆44Updated last year
- ☆30Updated 2 years ago
- An Elegant PyTorch Implementation of ECCV'2020: Virtual Multi View Fusion for 3D Semantic Segmentation.☆27Updated 3 years ago
- [ICCV 2023] Official implementation of the paper "PARIS: Part-level Reconstruction and Motion Analysis for Articulated Objects"☆76Updated 3 months ago
- Project for NeurIPS'22 Dataset Track Paper: Breaking Bad Dataset☆15Updated 8 months ago
- ☆51Updated last year
- Code Accompany NeurIPS 2022 Dataset Paper: Breaking Bad. A Shape Assembly Benchmark Implemented in PyTorch☆74Updated 7 months ago
- ☆47Updated 2 years ago
- This is the official implementation of the paper "Leveraging SE(3)-Equivariance for Learning 3D Geometric Shape Assembly" (ICCV 2023)☆50Updated last year
- Shape-Pose Disentanglement using SE (3)-equivariant Vector Neurons☆18Updated 2 years ago
- Repository of the ICCV23 paper "SC3K: Self-supervised and Coherent 3D Keypoints Estimation from Rotated, Noisy, and Decimated Point Cloud…☆55Updated last year
- [ECCV 2022, Oral] OPD: Single-view 3D Openable Part Detection☆34Updated 2 years ago
- Code for the paper "Zero-Shot Category-Level 6D Pose Estimation"☆81Updated last year
- Official Implementation of CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects☆25Updated last year
- ☆11Updated last year
- [ECCV 2022] CATRE: Iterative Point Clouds Alignment for Category-level Object Pose Refinement☆46Updated last year
- ☆39Updated last year
- SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation (Accepted by NeurIPS-2023)☆100Updated 11 months ago
- rendering (optionally temporal) point clouds using Mitsuba2☆159Updated last year
- Visualization kit for BOP benchmark☆37Updated 2 years ago
- This repo is a PyTorch implementation for Paper "Unsupervised Learning for Cuboid Shape Abstraction via Joint Segmentation from Point Clo…☆74Updated 3 years ago
- This is the original implementation of the paper DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation☆32Updated last year
- Official code release for ECCV2020 paper "Category Level Object Pose Estimation via Neural Analysis-by-Synthesis"☆39Updated 4 years ago
- [CVPR 2022] Projective Manifold Gradient Layer For Deep Rotation Regression☆68Updated last month
- [CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function☆133Updated 6 months ago
- Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild, ICLR 2023☆95Updated 2 years ago
- [CVPR 2022 Oral] Robust and Accurate Superquadric Recovery: a Probabilistic Approach☆79Updated 8 months ago
- 3D Helper, currently most implemented with Open3D and trimesh☆36Updated 2 years ago
- Pytorch original implementation - 'Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets'☆24Updated 4 years ago