mabaorui Goto Github PK

-onsurfaceprior_project_page

anchorudf

geodream_page

helloworld

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

noise2noisemappingpage

occupancy_networks

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

onsurfaceprior

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

pointnerf

Point-NeRF: Point-based Neural Radiance Fields

predictablecontextprior

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

predictablecontextprior_page

pytorch3d

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

seqviews2seqlabels

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

towardsbettergradient

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