Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

An unrestricted attack based on diffusion models that can achieve both good transferability and imperceptibility.

A collection of awesome text-to-image generation studies.

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

The official PyTorch implementation of the ECCV 2022 paper: Ghost-free High Dynamic Range Imaging with Context-aware Transformer

PyTorch re-implementation of TIP'20 paper: Deep HDR Imaging via a Non-Local Network

Learning to reconstruct signals from binary measurements alone

PyTorch implementation of some single image dehazing networks.

AOD-Net (Pytorch & Caffe)

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

Unofficial PyTorch implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017 https://groups.csail.mit.edu/graphics/hdrnet/

DGNL-Net and RainCityscapes

[TIP 2021] Layout-to-Image Translation with Double Pooling Generative Adversarial Networks

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

NVIDIA's Deep Imagination Team's PyTorch Library

中国大学MOOC---《机器人操作系统入门》讲义，升级版本