liruihui

PU-GAN

PU-GAN: a Point Cloud Upsampling Adversarial Network, ICCV, 2019

PointAugment

Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)

SP-GAN

Dis-PU

Point Cloud Upsampling via Disentangled Refinement, CVPR, 2021

Reading_List

Self-Embedding

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Awsome_Deep_Geometry_Learning

A list of resources about deep learning solutions on 3D shape processing

pro_gan_pytorch

ProGAN package implemented as an extension of PyTorch nn.Module

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

3DNetworksPytorch

Implementation of Popular Deep Learning Network using pytorch

DeformingThings4D

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

gradio

Create UIs for your machine learning model in Python in 3 minutes

learning3d

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

liruihui.github.io

personal website

LOGAN

LOGAN: Unpaired Shape Transform in Latent Overcomplete Space

mesh_to_sdf

Calculate signed distance fields for arbitrary meshes

Neural-Template

Neural Template: Topology- aware Reconstruction and Disentangled Generation of 3D Meshes (CVPR 2022)

paper-tips-and-tricks

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

pcn

Code for PCN: Point Completion Network in 3DV'18 (Oral)

PDGN

Progressive Point Cloud Deconvolution Generation Network (PDGN)

PointASNL

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

pointnet-pytorch

PointNet in PyTorch with comprehensive experiments

polyscope

A C++ & Python viewer for 3D data like meshes and point clouds

pytorch_points

a pytorch extension for learning point clouds

shape_as_points

[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver

shapegan

Generative Adversarial Networks and Autoencoders for 3D Shapes

Sketch2PointCloud

Code for the paper: A Sketch based 3D Point Cloud Modeling System based on Deep Generation Network and Detail Editing

StyleSDF