dcharatan / point2mesh-reimplementationLinks
A reimplementation of Hanocka et al.'s paper Point2Mesh: A Self-Prior for Deformable Meshes for CSCI 1470: Deep Learning at Brown University.
☆39Updated 4 years ago
Alternatives and similar repositories for point2mesh-reimplementation
Users that are interested in point2mesh-reimplementation are comparing it to the libraries listed below
Sorting:
- Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020☆114Updated 4 years ago
- Official Implementation of Neural Splines☆93Updated 3 years ago
- Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)☆97Updated 4 years ago
- Blender/bpy utilities for paper-ready visualizations of meshes, point clouds and occupancy grids.☆84Updated 6 years ago
- Primal-Dual Mesh Convolutional Neural Networks☆113Updated 3 years ago
- Generate watertight meshes and sdf grids from degenerate, non-manifold meshes☆103Updated 2 years ago
- SIGGRAPH23: Unsupervised Learning of Robust Spectral Shape Matching☆60Updated last year
- ☆52Updated 3 years ago
- The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"☆138Updated last year
- ☆52Updated 3 years ago
- Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)☆180Updated last year
- Code for Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations☆70Updated 3 years ago
- Gradient, divergence, Laplacian on point clouds. Useful for setting up and solving PDEs on point clouds and learning anisotropic features…☆75Updated 2 years ago
- An Efficient Implementation of Analytic Mesh Algorithm for 3D Iso-surface Extraction from Neural Networks☆73Updated 3 years ago
- MeshWalker implementation☆54Updated 4 years ago
- MeshODE: A Robust and Scalable Framework for Mesh Deformation☆100Updated 5 years ago
- ☆106Updated 2 years ago
- Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.☆84Updated 3 years ago
- Official code repository for the paper: “GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions”☆128Updated 2 years ago
- [ICCV21] Code for "RetrievalFuse: Neural 3D Scene Reconstruction with a Database"☆81Updated 3 years ago
- code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"☆49Updated 5 years ago
- PyTorch implementation for paper Neural Marching Cubes.☆168Updated last year
- Marching cubes with and without color interpolation, and edge subsampling.☆186Updated 2 years ago
- Learning Normal Orientation For Point Clouds [SIGGRAPH 2021]☆28Updated 3 years ago
- Joint Learning of 3D Shape Retrieval and Deformation, CVPR 2021☆54Updated 4 years ago
- ☆51Updated 5 years ago
- This is a browser based renderer for outputs of 3D neural networks☆31Updated 2 years ago
- Code for the paper "DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares"☆145Updated 2 years ago
- Implementation for Curriculum DeepSDF☆88Updated 5 years ago
- 3D Shape Generation Baselines in PyTorch.☆45Updated 5 years ago