iszihan / VectorAdam
VectorAdam for Rotation Equivariant Geometry Optimization
☆113Updated 2 years ago
Alternatives and similar repositories for VectorAdam:
Users that are interested in VectorAdam are comparing it to the libraries listed below
- Geometry processing utilities compatible with jax for autodifferentiation.☆88Updated last year
- Neural Surface Maps☆65Updated 9 months ago
- ☆51Updated 3 years ago
- ☆125Updated last year
- ☆48Updated 3 months ago
- Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.☆200Updated last year
- Gradient, divergence, Laplacian on point clouds. Useful for setting up and solving PDEs on point clouds and learning anisotropic features…☆75Updated 2 years ago
- Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries☆53Updated 3 years ago
- Code accompanying the NeurIPS 2022 paper: "NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos".☆150Updated last year
- ☆79Updated 3 years ago
- Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."☆139Updated last year
- Code for the paper "Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior" https://arxiv.org…☆44Updated last year
- ☆86Updated 8 months ago
- [NeurIPS 2024] Official implementation of "NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory"☆30Updated 4 months ago
- Fit low-dimensional subspaces to physical systems with neural networks (SIGGRAPH 2023)☆161Updated last year
- ☆15Updated 2 years ago
- ☆41Updated 2 years ago
- Animation Nodes script for loading and rendering point clouds in Blender☆19Updated 3 years ago
- Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch☆68Updated 2 years ago
- Official Implementation of Neural Splines☆91Updated 3 years ago
- ☆46Updated 2 years ago
- [ICML 2023] Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics☆111Updated last year
- ☆14Updated 3 years ago
- A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021)☆90Updated 2 years ago
- An Efficient Implementation of Analytic Mesh Algorithm for 3D Iso-surface Extraction from Neural Networks☆73Updated 2 years ago
- Efficient Eikonal equation solver using CUDA☆91Updated last month
- ☆11Updated last month
- PyTorch implementation of differentiable Sphere Tracing / Ray Marching with SDFs (Signed Distance Function) and CSG (Constructive Solid G…☆48Updated 2 years ago
- Differentiable Spherical Harmonic Transforms in PyTorch☆17Updated 2 years ago
- [ECCV '22] Intrinsic Neural Fields: Learning Functions on Manifolds☆74Updated 2 years ago