guochengqian

ASSANet

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

KAUSTian_Handbook_CN

KAUST Handbook (in Chinese)

Magic123

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

openpoints

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

Pix4Point

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

PointNeXt

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

PU-GCN

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

TENet

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

deep_gcns_torch

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

AToM

Official implementation of `AToM: Amortized Text-to-Mesh using 2D Diffusion`

guochengqian/Magic123

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

guochengqian/PointNeXt

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

guochengqian/TENet

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

guochengqian/openpoints

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

guochengqian/PU-GCN

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

guochengqian/Pix4Point

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

guochengqian/ASSANet

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

guochengqian/KAUSTian_Handbook_CN

KAUST Handbook (in Chinese)

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

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

guochengqian/deep_learning_phd_wiki

Personal use simple handbook for deep learning

guochengqian/tutorial-yaml-wandb

Organize your experiments using yaml and wandb

guochengqian/TNAS

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

guochengqian/ivul_resources

Internal Resources for IVUL members

guochengqian/KPConv-PyTorch-DeepGCN

Kernel Point Convolution implemented in PyTorch

guochengqian/CS_lifelong_learning

learn c and cpp language

guochengqian/deep_gcns_torch

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

guochengqian/guochengqian

guochengqian/learn_cuda_programming

guochengqian/PointCNN

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

guochengqian/recommenders

Best Practices on Recommendation Systems

guochengqian/threestudio

A unified framework for 3D content generation.

guochengqian/torch-points3d

Pytorch framework for doing deep learning on point clouds.

guochengqian/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.

guochengqian/bevfusion

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

guochengqian/CS272-Geometrci-Processing-Curvature-Estimation

Curvature Estimation code for the course project at CS272-Geometrci-Processing

guochengqian/deep-learning-project-template

Pytorch Lightning code guideline for conferences

guochengqian/NeuralRecon

Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral

guochengqian/nvdiffrec

Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".

guochengqian/Point-MAE

guochengqian/realfusion