guochengqian Goto Github PK

assanet

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

awesome-self-supervised-learning-on-3d

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

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.

bevfusion

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

cs272-geometrci-processing-curvature-estimation

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

cs380-gpgpu_programming-opengl

OpenGL projects (course CS380 at KAUST)

cs_lifelong_learning

learn c and cpp language

deep-learning-project-template

Pytorch Lightning code guideline for conferences

deep_gcns_torch

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

deep_learning_phd_wiki

Personal use simple handbook for deep learning

ee354-computer-vision

Solution to Homework/Project at EE354-Computer-Vision

guochengqian

ivul_resources

Internal Resources for IVUL members

kaustian_handbook_cn

KAUST Handbook (in Chinese)

kpconv-pytorch-deepgcn

Kernel Point Convolution implemented in PyTorch

learn_cuda_programming

magic123

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

n2v

This is the implementation of Noise2Void training.

neuralrecon

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

nvdiffrec

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

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`

point-mae

pointcnn

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

pointnext

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

pt.darts

PyTorch Implementation of DARTS: Differentiable Architecture Search

pu-gcn

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

realfusion

recommenders

Best Practices on Recommendation Systems

second.pytorch

SECOND for KITTI/NuScenes object detection