Baorui Ma

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

PredictableContextPrior_page. JavaScript

-OnSurfacePrior_project_page. JavaScript

Noise2NoiseMappingPage. JavaScript

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

AnchorUDF.

mabaorui.github.io. JavaScript

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

GeoDream_page. HTML