[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)…

Poisson Surface Reconstruction

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.

Implicit Feature Network (IF-Net) - Codebase

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)".

Simple SDF mesh generation in Python

Code for "Neural 3D Reconstruction in the Wild", SIGGRAPH 2022 (Conference Proceedings)

📑 A list of awesome learning-based multi-view stereo papers