mabaorui
Researcher at Beijing Academy of Artificial Intelligence (BAAI). Received my PhD degree from the School of Software, Tsinghua University.
Tsinghua University, BAAI.Beijing, China
Pinned Repositories
GeoDream
GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation
Uni3D
[ICLR'24 Spotlight] Uni3D: 3D Visual Representation from BAAI
-OnSurfacePrior_project_page
mabaorui.github.io
NeuralPull
Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
NeuralPull-Pytorch
Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
Noise2NoiseMapping
[ICML'23 Oral] Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
OnSurfacePrior
Implementation of CVPR'2022:Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors
PredictableContextPrior
Implementation of CVPR'2022:Surface Reconstruction from Point Clouds by Learning Predictive Context Priors
TowardsBetterGradient
[CVPR'2023]: Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment
mabaorui's Repositories
mabaorui/OnSurfacePrior
Implementation of CVPR'2022:Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors
mabaorui/NeuralPull
Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
mabaorui/PredictableContextPrior
Implementation of CVPR'2022:Surface Reconstruction from Point Clouds by Learning Predictive Context Priors
mabaorui/Noise2NoiseMapping
[ICML'23 Oral] Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
mabaorui/NeuralPull-Pytorch
Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
mabaorui/TowardsBetterGradient
[CVPR'2023]: Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment
mabaorui/-OnSurfacePrior_project_page
mabaorui/mabaorui.github.io
mabaorui/PredictableContextPrior_page
mabaorui/AnchorUDF
mabaorui/Noise2NoiseMappingPage
mabaorui/occupancy_networks
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
mabaorui/pointnerf
Point-NeRF: Point-based Neural Radiance Fields
mabaorui/SeqViews2SeqLabels
The source code for our TIP paper "SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN with Attention"
mabaorui/GeoDream_page
mabaorui/HelloWorld
mabaorui/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data