shamanDevel / AdaptiveSamplingLinks
Source code for "Learning Adaptive Sampling and Reconstruction for Volume Visualization"
☆18Updated 3 years ago
Alternatives and similar repositories for AdaptiveSampling
Users that are interested in AdaptiveSampling are comparing it to the libraries listed below
Sorting:
- Fast Neural Representations for Direct Volume Rendering☆29Updated 3 years ago
- ☆108Updated 3 years ago
- Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features☆88Updated last year
- Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"☆146Updated 5 years ago
- Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.☆204Updated 2 years ago
- Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020☆115Updated 4 years ago
- ☆35Updated 4 years ago
- Geometry processing utilities compatible with jax for autodifferentiation.☆90Updated 2 years ago
- ACORN: Adaptive Coordinate Networks for Neural Scene Representation | SIGGRAPH 2021☆297Updated 3 years ago
- Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows☆87Updated 4 years ago
- "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)☆53Updated 6 years ago
- Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight☆242Updated 4 years ago
- code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"☆53Updated 6 years ago
- PyTorch implementation for paper Neural Marching Cubes.☆175Updated 2 years ago
- Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)☆183Updated 2 years ago
- Learnable Deformations Among 3D Shapes.☆64Updated 5 years ago
- ☆176Updated 4 years ago
- Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.☆85Updated 4 years ago
- Fast analytical implementation of batch eigen-decomposition for 3x3 symmetric matrices with Pytorch. > 250x faster than regular Pytorch i…☆21Updated 4 years ago
- A small project implementing different per-vertex mesh signatures.☆42Updated last year
- code for paper "Continuous and Orientation-preserving Correspondence via Functional Maps"☆37Updated 5 years ago
- The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"☆142Updated last year
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆89Updated 5 years ago
- Differentiable Direct Volume Rendering - Source Code☆40Updated 3 years ago
- Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries☆59Updated 4 years ago
- Primal-Dual Mesh Convolutional Neural Networks☆117Updated 4 years ago
- Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].☆26Updated last year
- Python implementation of Functional Maps☆142Updated 3 months ago
- Controlling Neural Level Sets☆20Updated 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