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Shape-Guided Dual-Memory Learning for 3D Anomaly Detection [ICML2023]
A taxonomy of industrial anomaly detection methods and datasets (updating).
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
Lecture notes, projects and other materials for Course 'CS205 C/C++ Program Design' at Southern University of Science and Technology.
[Lumina Embodied AI Community] 具身智能技术指南 Embodied-AI-Guide
SouthernBadWood / moco
Forked from facebookresearch/mocoPyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722 fork version
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
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PyTorch implementation of Pointnet2/Pointnet++
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation" (CVPR'25 Spotlight).
💭 Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
this is a diffusion pointclouds repository
Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties(CVPR'25)
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Pointcept: a codebase for point cloud perception research. Latest works: Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral), PPT (CVPR'24), MSC (CVPR'23)
SUSTech-Application / 2019-Fall
Forked from docsifyjs/docsifyhttps://SUSTech-Application.github.io/2019-Fall
Stable Diffusion implemented from scratch in PyTorch
Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
Generative AI contributions for multimodal data