rkjones4 / SHREDLinks
SHRED: 3D Shape Region Decomposition with Learned Local Operations -- SIGGRAPH Asia 2022
☆23Updated 3 years ago
Alternatives and similar repositories for SHRED
Users that are interested in SHRED are comparing it to the libraries listed below
Sorting:
- Official code for the paper Coverage Axis: Inner Point Selection for 3D Shape Skeletonization, Eurographics 2022.☆106Updated 5 months ago
- [ICCV 2021] "HPNet: Deep Primitive Segmentation Using Hybrid Representations"☆76Updated 2 years ago
- This repo is a PyTorch implementation for Paper "Unsupervised Learning for Cuboid Shape Abstraction via Joint Segmentation from Point Clo…☆78Updated 4 years ago
- Code for CAPRI-Net☆58Updated 3 years ago
- 3DILG: Irregular Latent Grids for 3D Generative Modeling☆104Updated 3 years ago
- ☆57Updated 3 years ago
- Laplacian2Mesh: Laplacian-Based Mesh Understanding☆56Updated last year
- Joint Learning of 3D Shape Retrieval and Deformation, CVPR 2021☆55Updated 4 years ago
- ☆54Updated 3 years ago
- Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders, CVPR 2022☆64Updated 2 years ago
- Code for "DiGS: Divergence guided shape implicit neural representation for unoriented point clouds" (CVPR2022)☆60Updated 3 weeks ago
- ☆92Updated 2 years ago
- Simple mini-scripts to automatically convert Shapenet mesh models to voxel grids and point clouds and rename them.☆24Updated 4 years ago
- Implementation for Curriculum DeepSDF☆88Updated 5 years ago
- Code for paper "DAE-Net: Deforming Auto-Encoder for fine-grained shape co-segmentation".☆38Updated 2 years ago
- Generate watertight meshes and sdf grids from degenerate, non-manifold meshes☆108Updated 2 years ago
- Official repository for the ShapeFormer Project☆209Updated last year
- Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)☆99Updated 5 years ago
- Code for 'DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation'☆86Updated 2 years ago
- Official code repository for the paper: “GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions”☆130Updated 3 years ago
- ☆64Updated 4 years ago
- Blender/bpy utilities for paper-ready visualizations of meshes, point clouds and occupancy grids.☆87Updated 7 years ago
- Code of RFEPS: Reconstructing Feature-line Equipped Polygonal Surface. ACM Transactions on Graphics, SIGGRAPH Asia 2022 Paper.☆70Updated last year
- PyTorch implementation of Neural Dual Contouring.☆274Updated 3 years ago
- Official PyTorch implementation of ICCV 2023 paper: E3Sym: Leveraging E(3) Invariance for Unsupervised 3D Planar Reflective Symmetry Dete…☆24Updated 2 years ago
- [TPAMI'2024 / NeurIPS'2022]: CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Fie…☆121Updated last year
- PyTorch 1.2 implementation of BSP-NET.☆187Updated 3 years ago
- [CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function☆143Updated last year
- Python tool for obtaining watertight meshes using TSDF fusion.☆235Updated 2 years ago
- Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)☆185Updated 2 years ago