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Magic123
[ICLR24] Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion PriorsPointNeXt
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling StrategiesTENet
[ICCP'22] Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipelineopenpoints
OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)PU-GCN
[CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional NetworksPix4Point
Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`KAUSTian_Handbook_CN
KAUST Handbook (in Chinese)ASSANet
[NeurIPS'21 Spotlight] ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learningawesome-self-supervised-learning-on-3D
Paper list for anyone who are interested in self-supervised learning on 3D point cloud.deep_learning_phd_wiki
Personal use simple handbook for deep learningtutorial-yaml-wandb
Organize your experiments using yaml and wandbTNAS
[CVPRW22] Official PyTorch Implementation of "When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search"ivul_resources
Internal Resources for IVUL membersCS_lifelong_learning
learn c and cpp languagelearn_cuda_programming
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