hiroharu-kato / mesh_reconstruction
Code of single-image 3D reconstruction "Neural 3D Mesh Renderer" by H. Kato, Y. Ushiku, and T. Harada.
β261Updated 5 years ago
Alternatives and similar repositories for mesh_reconstruction:
Users that are interested in mesh_reconstruction are comparing it to the libraries listed below
- Code and Data Release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)β294Updated 4 years ago
- π₯3D-RecGAN++ in Tensorflow (TPAMI 2018)β134Updated 5 years ago
- This repository contains the source codes for the paper "AtlasNet: A Papier-MΓ’chΓ© Approach to Learning 3D Surface Generation ". The netwoβ¦β686Updated 2 years ago
- Project repo for Learning Category-Specific Mesh Reconstruction from Image Collectionsβ477Updated 3 years ago
- Pix3D: Dataset and Methods for Single-Image 3D Shape Modelingβ501Updated 3 years ago
- EdwardSmith1884 / Multi-View-Silhouette-and-Depth-Decomposition-for-High-Resolution-3D-Object-RepresentationRepository for code to reproduce the paper Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representationβ149Updated 4 years ago
- DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstructionβ305Updated 3 years ago
- Source code for the Sketch Modeling project: reconstruct a 3D shape from line drawing sketches.β143Updated 4 years ago
- MarrNet: 3D Shape Reconstruction via 2.5D Sketchesβ174Updated 7 years ago
- Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputsβ156Updated 5 years ago
- Pytorch Implementation for the project : `3D-CODED` and `Learning Elementary Structure`β320Updated 3 years ago
- Python module to read and write .binvox files.β238Updated 5 years ago
- Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018β254Updated last year
- [CVPR'17] Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesisβ141Updated 5 years ago
- "Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.β1,152Updated 2 years ago
- [ICCV2019] Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation.β366Updated 3 years ago
- [CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettesβ171Updated 4 years ago
- DIRT: a fast differentiable renderer for TensorFlowβ313Updated 2 years ago
- Code for ``A Point Set Generation Network for 3D Object Reconstruction from a Single Image''β562Updated 7 years ago
- Implicit Feature Network (IF-Net) - Codebaseβ317Updated last year
- A complete Pixel2Mesh implementation in PyTorchβ234Updated last year
- Weakly supervised 3D Reconstruction with Adversarial Constraintβ78Updated 7 years ago
- The reference implementation of "Unsupervised Learning of Shape and Pose with Differentiable Point Clouds"β156Updated 6 years ago
- A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".β201Updated 4 years ago
- ShapeNet Viewerβ189Updated 5 years ago
- Self-supervised Single-view 3D Reconstructionβ230Updated 4 years ago
- The code for paper "Learning Implicit Fields for Generative Shape Modeling".β400Updated 4 years ago
- What Do Single-view 3D Reconstruction Networks Learn?β98Updated 4 years ago
- Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction (AAAI 2018)β430Updated 5 years ago
- Code of 2D-to-3D style transfer in the paper "Neural 3D Mesh Renderer" by H. Kato, Y. Ushiku, and T. Harada.β139Updated 6 years ago