alexeybokhovkin / DeepSDFLinks
"DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)
☆53Updated 6 years ago
Alternatives and similar repositories for DeepSDF
Users that are interested in DeepSDF are comparing it to the libraries listed below
Sorting:
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆88Updated 5 years ago
- Learnable Deformations Among 3D Shapes.☆64Updated 4 years ago
- Code for Mesh Convolution Using a Learned Kernel Basis☆55Updated 3 years ago
- DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates☆88Updated 3 years ago
- Implementation for Curriculum DeepSDF☆88Updated 5 years ago
- Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight☆241Updated 3 years ago
- DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20☆141Updated 2 years ago
- Implementation of "Deep Implicit Templates for 3D Shape Representation"☆168Updated 4 years ago
- DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing (CVPR 2020).☆222Updated 5 years ago
- implicit displacement field☆126Updated 3 years ago
- code for paper "Continuous and Orientation-preserving Correspondence via Functional Maps"☆37Updated 5 years ago
- ☆83Updated 4 years ago
- ☆162Updated 4 years ago
- Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)☆182Updated 2 years ago
- PyTorch implementation for paper Neural Marching Cubes.☆175Updated 2 years ago
- This repository contains code for the paper 'Texture Fields: Learning Texture Representations in Function Space'.☆123Updated 5 years ago
- Learning latent representations of registered meshes is useful for many 3D tasks. Techniques have recently shifted to neural mesh autoenc…☆100Updated 4 years ago
- Implementation of the NeuroMorph method from CVPR 2021.☆51Updated 4 years ago
- code for "Neural Cages for Detail-Preserving 3D Deformations"☆179Updated 5 years ago
- The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"☆140Updated last year
- Fast and Differentiable Meshing of Unsigned Distance Field Networks☆147Updated 6 months ago
- The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".☆165Updated 5 months ago
- Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence CVPR 2021☆128Updated 3 years ago
- ☆40Updated 4 years ago
- SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization☆286Updated 5 years ago
- MeshODE: A Robust and Scalable Framework for Mesh Deformation☆105Updated 5 years ago
- Open source repository for the code accompanying the paper 'PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations'.…☆23Updated 4 years ago
- Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.☆85Updated 4 years ago
- This repository contains the code for the paper "Deep Mesh Reconstruction from Single RGB Images ".☆76Updated 5 years ago
- code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"☆52Updated 6 years ago