yiyiliao / deep_marching_cubes
Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018
☆258Updated 2 years ago
Alternatives and similar repositories for deep_marching_cubes:
Users that are interested in deep_marching_cubes are comparing it to the libraries listed below
- SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization☆283Updated 4 years ago
- DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction☆308Updated 3 years ago
- DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing (CVPR 2020).☆221Updated 4 years ago
- (latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction☆184Updated 3 years ago
- This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Co…☆124Updated 2 years ago
- Python tool for obtaining watertight meshes using TSDF fusion.☆228Updated last year
- Marching cubes with and without color interpolation, and edge subsampling.☆185Updated 2 years ago
- Implicit Feature Network (IF-Net) - Codebase☆318Updated last year
- PyTorch 1.2 implementation of BSP-NET.☆182Updated 2 years ago
- The code for paper "BAE-NET: Branched Autoencoder for Shape Co-Segmentation".☆69Updated 4 years ago
- The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".☆163Updated 4 years ago
- PyTorch implementation for paper Neural Marching Cubes.☆166Updated last year
- Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs☆156Updated 5 years ago
- The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"☆137Updated last year
- Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)☆178Updated last year
- Implicit Geometric Regularization for Learning Shapes☆416Updated 3 years ago
- Tensorflow 1.15 implementation of BSP-NET, along with other scripts used in our paper.☆197Updated 3 years ago
- Differentiable Surface Splatting☆445Updated 2 years ago
- "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)☆53Updated 6 years ago
- What Do Single-view 3D Reconstruction Networks Learn?☆98Updated 4 years ago
- code for "Neural Cages for Detail-Preserving 3D Deformations"☆172Updated 4 years ago
- This repository contains the code for the paper "Deep Mesh Reconstruction from Single RGB Images ".☆76Updated 4 years ago
- Final project for RecVis 18☆127Updated 5 years ago
- Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight☆236Updated 3 years ago
- 3D Shape Representation with Local Deep Implicit Functions.☆320Updated last year
- Implementation of "Deep Implicit Templates for 3D Shape Representation"☆168Updated 3 years ago
- This repository contains the source codes for the paper AtlasNet V2 - Learning Elementary Structures.☆138Updated last year
- A complete Pixel2Mesh implementation in PyTorch☆237Updated last year
- Code and Data Release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)☆295Updated 4 years ago
- FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis☆58Updated 6 years ago