stevenygd / NFGPLinks
Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
☆203Updated last year
Alternatives and similar repositories for NFGP
Users that are interested in NFGP are comparing it to the libraries listed below
Sorting:
- Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"☆142Updated 4 years ago
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆89Updated 4 years ago
- DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing (CVPR 2020).☆222Updated 4 years ago
- Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight☆235Updated 3 years ago
- Geometry processing utilities compatible with jax for autodifferentiation.☆90Updated last year
- Queries on neural implicit surfaces via range analysis: ray casting, intersection, closest point, & more. SIGGRAPH 2022 paper. JAX implem…☆175Updated 2 years ago
- Neural Surface Maps☆67Updated last year
- Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)☆180Updated last year
- Official repo for AutoInt: Automatic Integration for Fast Neural Volume Rendering in CVPR 2021☆185Updated 2 years ago
- ☆87Updated last year
- DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20☆142Updated 2 years ago
- Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries☆58Updated 3 years ago
- ☆43Updated 3 years ago
- Code for "Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks", CVPR 2021☆173Updated 4 years ago
- Learning Gradient Fields for Shape Generation☆196Updated 4 years ago
- Official respository for "Band-limited Coordinate Networks for Multiscale Scene Representation" | CVPR 2022☆179Updated 2 years ago
- PyTorch implementation for paper Neural Marching Cubes.☆168Updated last year
- A clean, compact renderer for spherical images of shapenet objects in blender <2.8.☆77Updated 3 years ago
- PyTorch 1.2 implementation of BSP-NET.☆185Updated 3 years ago
- ☆106Updated 2 years ago
- implicit displacement field☆126Updated 2 years ago
- Implementation for Curriculum DeepSDF☆88Updated 5 years ago
- Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence CVPR 2021☆127Updated 3 years ago
- SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization☆284Updated 5 years ago
- Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."☆143Updated last year
- DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates☆84Updated 2 years ago
- Implicit Geometric Regularization for Learning Shapes☆422Updated 3 years ago
- Official Implementation of Neural Splines☆93Updated 3 years ago
- Python implementation of Functional Maps☆124Updated 4 months ago
- Learnable Deformations Among 3D Shapes.☆65Updated 4 years ago