Gitikameher / A-Point-Set-Generation-Network-for-3D-Object-Reconstruction-from-a-Single-ImageLinks
☆18Updated 5 years ago
Alternatives and similar repositories for A-Point-Set-Generation-Network-for-3D-Object-Reconstruction-from-a-Single-Image
Users that are interested in A-Point-Set-Generation-Network-for-3D-Object-Reconstruction-from-a-Single-Image are comparing it to the libraries listed below
Sorting:
- (latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction☆184Updated 3 years ago
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆90Updated 4 years ago
- Implementation of "Deep Implicit Templates for 3D Shape Representation"☆168Updated 3 years ago
- Python tool for obtaining watertight meshes using TSDF fusion.☆230Updated last year
- Learnable Deformations Among 3D Shapes.☆65Updated 4 years ago
- Deep Implicit Moving Least-Squares Functions for 3D Reconstruction☆134Updated 2 years ago
- Master thesis work on 3d object reconstruction from 2d images with graph convolution network (pixel2mesh adaption).☆26Updated 4 years ago
- ☆38Updated 4 years ago
- PyTorch implementation for paper Neural Marching Cubes.☆166Updated last year
- Implementation of the paper Implicit Field Supervision for Robust Non-rigid Shape Matching☆23Updated 2 years ago
- The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".☆164Updated 4 years ago
- DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates☆84Updated 2 years ago
- The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"☆137Updated last year
- This repository contains the code for the paper "Deep Mesh Reconstruction from Single RGB Images ".☆76Updated 4 years ago
- Code and datasets for TPAMI 2021 "SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces from R…☆49Updated 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
- ☆52Updated 3 years ago
- Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence CVPR 2021☆126Updated 2 years ago
- Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)☆180Updated last year
- ☆159Updated 3 years ago
- DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction☆308Updated 4 years ago
- 3D Shape Generation Baselines in PyTorch.☆45Updated 5 years ago
- Laplacian2Mesh: Laplacian-Based Mesh Understanding☆54Updated 11 months ago
- ☆41Updated 2 years ago
- [CVPR'2022]: 3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow☆57Updated 2 years ago
- Blender/bpy utilities for paper-ready visualizations of meshes, point clouds and occupancy grids.☆84Updated 6 years ago
- Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)☆97Updated 4 years ago
- ☆82Updated 4 years ago
- Geometric deep learning for surface parsing from 3-D triangular meshes☆133Updated last year
- PyTorch 1.2 implementation of BSP-NET.☆184Updated 2 years ago