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Tongji University & TU Munich
- Munich,Gemany
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19:33
(UTC +01:00) - https://fusheng-ji.github.io/
- in/wenbo-ji-6950b9187
3D Reconstruction
[ICCV21] Code for "RetrievalFuse: Neural 3D Scene Reconstruction with a Database"
[CVPR 2022] POCO: Point Convolution for Surface Reconstruction
[ECCV'20] Convolutional Occupancy Networks
ICCV2021 Oral SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
Code accompanying the paper "Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction" by Christiane Sommer*, Lu Sang*, David Schubert, and Daniel Cremers (* denotes equal contrib…
[WACV 2021] Dynamic Plane Convolutional Occupancy Networks
Learning Continuous Signed Distance Functions for Shape Representation
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity)…
Learning Implicit Surfaces from Point Clouds (ECCV 2020)
Official Implementation of Neural Splines
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
A collection of 3D reconstruction papers in the deep learning era.
[ICPR 2022] Data, code and pretrained models for Deep Surface Reconstruction from Point Clouds with Visibility Information
Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
Code for the paper "DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares"
Real-time Neural Signed Distance Fields for Robot Perception
Vis2Mesh: Efficient Mesh Reconstruction from Unstructured Point Clouds of Large Scenes with Learned Virtual View Visibility ICCV2021
Implementation of CVPR'2022:Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors
Implementation of CVPR'2022:Surface Reconstruction from Point Clouds by Learning Predictive Context Priors
🆕RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds
Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."
This is accompanying code for our JCGT / I3D paper, "A Dataset and Explorer for 3D Signed Distance Functions (SDF)".
Code for "Neural 3D Reconstruction in the Wild", SIGGRAPH 2022 (Conference Proceedings)
📑 A list of awesome learning-based multi-view stereo papers