YueJiang-nj / CVPR2020-SDFDiff
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
☆283Updated 4 years ago
Alternatives and similar repositories for CVPR2020-SDFDiff
Users that are interested in CVPR2020-SDFDiff are comparing it to the libraries listed below
Sorting:
- DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing (CVPR 2020).☆221Updated 4 years ago
- Implicit Geometric Regularization for Learning Shapes☆416Updated 3 years ago
- Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)☆178Updated last year
- Differentiable Surface Splatting☆445Updated 2 years ago
- PyTorch implementation for paper Neural Marching Cubes.☆166Updated last year
- PyTorch 1.2 implementation of BSP-NET.☆182Updated 2 years ago
- The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".☆163Updated 4 years ago
- Python tool for obtaining watertight meshes using TSDF fusion.☆229Updated last year
- Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight☆236Updated 3 years ago
- (latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction☆184Updated 3 years ago
- DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction☆307Updated 3 years ago
- Marching cubes with and without color interpolation, and edge subsampling.☆185Updated 2 years ago
- DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20☆141Updated last year
- 3D Shape Representation with Local Deep Implicit Functions.☆320Updated last year
- Implicit Feature Network (IF-Net) - Codebase☆318Updated last year
- Tensorflow 1.15 implementation of BSP-NET, along with other scripts used in our paper.☆199Updated 3 years ago
- code for "Neural Cages for Detail-Preserving 3D Deformations"☆172Updated 4 years ago
- Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018☆258Updated 2 years ago
- PyTorch implementation of Neural Dual Contouring.☆242Updated 2 years ago
- Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020☆114Updated 4 years ago
- Implementation of "Deep Implicit Templates for 3D Shape Representation"☆168Updated 3 years ago
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆90Updated 4 years ago
- [NeurIPS'21] Shape As Points: A Differentiable Poisson Solver☆607Updated 3 years ago
- PyTorch 1.2 implementation of IM-NET.☆204Updated 2 years ago
- Neural Unsigned Distance Fields (NDF) - Codebase☆198Updated 2 years ago
- Code for 3D Reconstruction of Novel Object Shapes from Single Images paper☆125Updated 3 years ago
- Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.☆201Updated last year
- ☆158Updated 3 years ago
- "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)☆53Updated 6 years ago
- This repository contains the code for the paper "Deep Mesh Reconstruction from Single RGB Images ".☆76Updated 4 years ago