unixpickle / sdf-torchLinks
Simple SDF mesh generation in Python
☆28Updated 4 years ago
Alternatives and similar repositories for sdf-torch
Users that are interested in sdf-torch are comparing it to the libraries listed below
Sorting:
- Learnable Deformations Among 3D Shapes.☆65Updated 4 years ago
- A simple Python tool for generating watertight meshes☆46Updated last year
- KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control☆109Updated 3 years ago
- DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates☆84Updated 2 years ago
- ☆159Updated 3 years ago
- ☆28Updated 3 years ago
- Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries☆58Updated 3 years ago
- DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20☆142Updated 2 years ago
- Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)☆180Updated last year
- PyTorch implementation for paper Neural Marching Cubes.☆166Updated last year
- A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021)☆92Updated 3 years ago
- Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.☆84Updated 3 years ago
- Geometry processing utilities compatible with jax for autodifferentiation.☆88Updated last year
- MeshODE: A Robust and Scalable Framework for Mesh Deformation☆100Updated 5 years ago
- Implementation for Curriculum DeepSDF☆88Updated 5 years ago
- Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows☆84Updated 4 years ago
- ☆38Updated 4 years ago
- Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.☆202Updated last year
- ☆82Updated 5 years ago
- Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"☆142Updated 4 years ago
- Code for Mesh Convolution Using a Learned Kernel Basis☆55Updated 2 years ago
- "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)☆53Updated 6 years ago
- Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence CVPR 2021☆126Updated 2 years ago
- ☆82Updated 4 years ago
- Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight☆236Updated 3 years ago
- Official implementation of NPMs: Neural Parametric Models for 3D Deformable Shapes - ICCV 2021☆128Updated 2 years ago
- ☆136Updated last month
- Python implementation of Functional Maps☆121Updated 2 months ago
- Primal-Dual Mesh Convolutional Neural Networks☆113Updated 3 years ago
- This is the "plush" dataset associated with the CVPR 2022 paper "Virtual Elastic Objects".☆15Updated 2 years ago