maurock / DeepSDFLinks
Simple and intuitive implementation of DeepSDF that you can install with a single line of code.
☆97Updated last year
Alternatives and similar repositories for DeepSDF
Users that are interested in DeepSDF are comparing it to the libraries listed below
Sorting:
- Official code repository for the paper: “Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions”☆268Updated 2 years ago
- Official code repository for the paper: “GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions”☆128Updated 2 years ago
- Official repository for the ShapeFormer Project☆207Updated 11 months ago
- [CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function☆138Updated 11 months ago
- Code for paper "PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verify" [ICLR 2025]☆61Updated 7 months ago
- ☆54Updated 3 years ago
- Code for "DiGS: Divergence guided shape implicit neural representation for unoriented point clouds" (CVPR2022)☆58Updated 2 years ago
- SIGGRAPH23: Unsupervised Learning of Robust Spectral Shape Matching☆61Updated last year
- [TPAMI'2024 / NeurIPS'2022]: CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Fie…☆115Updated 10 months ago
- Neural Unsigned Distance Fields (NDF) - Codebase☆201Updated 3 years ago
- Rendering color and depth images for ShapeNet models.☆101Updated 4 years ago
- ☆247Updated 2 years ago
- 3D Shape Completion - adaptation and improvement of DiffComplete model.☆24Updated last year
- Official implementation of the SIGGRAPH-2022 paper "DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes"☆57Updated 2 years ago
- Python implementation of Functional Maps☆130Updated 6 months ago
- Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces☆77Updated last year
- 🕷️ SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency☆92Updated 2 weeks ago
- NeLo: Neural Laplacian Operators on Point Clouds☆24Updated 4 months ago
- DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion, ICCV 2023☆60Updated last year
- SPVD: Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion Models☆51Updated 6 months ago
- MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis☆59Updated 2 years ago
- Code for the CVPR 2023 paper "NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images".☆84Updated 10 months ago
- Implementation of the Chamfer Distance as a module for PyTorch☆179Updated 2 years ago
- ☆27Updated 4 years ago
- ☆67Updated last year
- Transform your point cloud data into beautifully rendered 3D images.☆29Updated 2 years ago
- rendering (optionally temporal) point clouds using Mitsuba2☆164Updated last year
- Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification☆297Updated last year
- [NeurIPS 2022] Non-rigid Point Cloud Registration with Neural Deformation Pyramid☆205Updated 9 months ago
- Official pytorch code for "ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations"☆70Updated 2 years ago