RuojinCai / ShapeGFLinks
Learning Gradient Fields for Shape Generation
☆196Updated 4 years ago
Alternatives and similar repositories for ShapeGF
Users that are interested in ShapeGF are comparing it to the libraries listed below
Sorting:
- PyTorch 1.2 implementation of IM-NET.☆204Updated 2 years ago
- Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.☆202Updated last year
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆90Updated 4 years ago
- DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20☆142Updated 2 years ago
- code for our ECCV 2020 spotlight paper "Multimodal Shape Completion via Conditional Generative Adversarial Networks"☆107Updated last year
- DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing (CVPR 2020).☆222Updated 4 years ago
- PyTorch 1.2 implementation of BSP-NET.☆185Updated 2 years ago
- Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"☆142Updated 4 years ago
- PyTorch 1.5 implementation for paper DECOR-GAN: 3D Shape Detailization by Conditional Refinement.☆84Updated 2 years ago
- Code for Multiresolution Tree Networks for 3D Point Cloud Processing (ECCV 2018)☆44Updated 6 years ago
- ☆115Updated 3 years ago
- Implementation of "Deep Implicit Templates for 3D Shape Representation"☆167Updated 4 years ago
- code for our CVPR 2020 paper "PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes"☆120Updated last year
- (latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction☆184Updated 3 years ago
- Code for "Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image", CVPR 2020☆98Updated 3 years ago
- Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."☆143Updated last year
- StructureNet: Hierarchical Graph Networks for 3D Shape Generation☆264Updated 3 years ago
- The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".☆164Updated 4 years ago
- Code for "Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks", CVPR 2021☆173Updated 4 years ago
- Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features☆88Updated 4 months ago
- Implementation of the Chamfer Distance as a module for pyTorch☆295Updated last year
- PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression☆300Updated 2 years ago
- SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images 🎯 (NeurIPS 2020)☆126Updated 4 years ago
- DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction☆309Updated 4 years ago
- DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates☆84Updated 2 years ago
- Pytorch package to compute Chamfer distance between point sets (pointclouds).☆327Updated last year
- Neural Unsigned Distance Fields (NDF) - Codebase☆198Updated 3 years ago
- Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence CVPR 2021☆126Updated 2 years ago
- KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control☆109Updated 4 years ago
- ☆159Updated 3 years ago