guochengqian

Gordon Guocheng Qian 钱国成's repositories

Magic123

[ICLR24] Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

Language:Jupyter NotebookApache-2.01500 54 51

PointNeXt

[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

Language:ShellMIT735 14 152

TENet

[ICCP'22] Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline

Language:PythonMIT278 9 22

openpoints

OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)

Language:Python274 100

PU-GCN

[CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks

Language:Python170 9 22

Pix4Point

Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`

MIT42 70

ASSANet

[NeurIPS'21 Spotlight] ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning

Language:PythonMIT35 7 7

KAUSTian_Handbook_CN

KAUST Handbook (in Chinese)

MIT34 4 9

awesome-self-supervised-learning-on-3D

Paper list for anyone who are interested in self-supervised learning on 3D point cloud.

9 50

deep_learning_phd_wiki

Personal use simple handbook for deep learning

Language:PythonMIT8 20

tutorial-yaml-wandb

Organize your experiments using yaml and wandb

Language:Python8 30

TNAS

[CVPRW22] Official PyTorch Implementation of "When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search"

Language:PythonMIT4 20

ivul_resources

Internal Resources for IVUL members

MIT2 30

KPConv-PyTorch-DeepGCN

Kernel Point Convolution implemented in PyTorch

Language:Python2 30

CS_lifelong_learning

learn c and cpp language

Language:CMIT1 30

deep_gcns_torch

Pytorch Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org

Language:PythonMIT1 20

guochengqian

1 30

learn_cuda_programming

MIT1 30

PointCNN

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Language:PythonNOASSERTION1 30

recommenders

Best Practices on Recommendation Systems

Language:PythonMIT1 20

threestudio

A unified framework for 3D content generation.

Language:PythonApache-2.01 10

torch-points3d

Pytorch framework for doing deep learning on point clouds.

Language:PythonNOASSERTION1 20

BEVFormer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

Language:PythonApache-2.0020