mabaorui

OnSurfacePrior

Implementation of CVPR'2022:Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors

NeuralPull

Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

PredictableContextPrior

Implementation of CVPR'2022:Surface Reconstruction from Point Clouds by Learning Predictive Context Priors

Noise2NoiseMapping

[ICML'23 Oral] Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping

NeuralPull-Pytorch

Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

TowardsBetterGradient

[CVPR'2023]: Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment

-OnSurfacePrior_project_page

mabaorui.github.io

PredictableContextPrior_page

AnchorUDF

Noise2NoiseMappingPage

occupancy_networks

This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

pointnerf

Point-NeRF: Point-based Neural Radiance Fields

SeqViews2SeqLabels

The source code for our TIP paper "SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN with Attention"

GeoDream_page

HelloWorld

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data