optas / 3D-Machine-LearningLinks
A learning resource repository for 3D machine learning
☆13Updated 7 years ago
Alternatives and similar repositories for 3D-Machine-Learning
Users that are interested in 3D-Machine-Learning are comparing it to the libraries listed below
Sorting:
- CSGNet for voxel based input☆46Updated 7 years ago
- Neural Contours: Learning to Draw Lines from 3D Shapes (CVPR2020)☆108Updated 4 years ago
- Official implementation of "Multi-chart Generative Surface Modeling", SIGGRAPH Asia 2018☆49Updated 6 years ago
- Multi-view Wire Art☆86Updated 5 years ago
- ☆48Updated 4 years ago
- Robust freeform surface modeling from user 2d sketches.☆100Updated 3 years ago
- MeshODE: A Robust and Scalable Framework for Mesh Deformation☆100Updated 5 years ago
- ☆28Updated 3 years ago
- The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".☆164Updated 4 years ago
- Marching cubes with and without color interpolation, and edge subsampling.☆187Updated 2 years ago
- 3D Signed Distance Function Based Generative Adversarial Networks☆14Updated 7 years ago
- Source code for the Style Transfer project: transfer the style from one 3D shape to another 3D shape while preserving functionality of th…☆37Updated 5 years ago
- DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20☆141Updated 2 years ago
- Public code release for the ACM Transactions on Graphics paper "Breaking Good: Fracture Modes for Realtime Destruction" and the NeurIPS 2…☆102Updated 2 years ago
- Mesh Skeleton Extraction Using Laplacian Contraction☆44Updated 7 years ago
- GRAINS: Generative Recursive Autoencoders for INdoor Scenes☆80Updated 4 years ago
- Public code release for our Siggraph Asia 2020 paper: ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis☆50Updated 2 years ago
- Code of 2D-to-3D style transfer in the paper "Neural 3D Mesh Renderer" by H. Kato, Y. Ushiku, and T. Harada.☆142Updated 7 years ago
- PyTorch 1.5 implementation for paper DECOR-GAN: 3D Shape Detailization by Conditional Refinement.☆84Updated 2 years ago
- Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020☆114Updated 4 years ago
- Source code and data for "Correspondence-Free Material Reconstruction using Sparse Surface Constraints", CVPR 2020☆24Updated 5 years ago
- Torch implementation of our ICCV 17 paper: "3D-PRNN, Generating Shape Primitives with Recurrent Neural Networks"☆69Updated 4 years ago
- Shape Spherical Harmonics (Descriptors, Alignment, and Symmetry)☆77Updated 5 years ago
- Implementation of the local remesher from "A Remeshing Approach to Multiresolution Modeling" by M. Botsch and L. Kobbelt, to work with th…☆85Updated 2 years ago
- Joint parameterization and fitting of stroke clusters☆60Updated 3 years ago
- Global-to-Local Generative Model for 3D Shapes☆29Updated 5 years ago
- Implementation of 2020 SIGGRAPH ASIA paper: To cut or to fill: A global optimization approach to topological simplification☆26Updated 3 years ago
- Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries☆58Updated 3 years ago
- A python addon for mesh segmentation in blender using spectral clustering methods☆103Updated last year
- A small library for doing fluid simulation with neural networks.☆23Updated 3 years ago