Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)
SwinIR: Image Restoration Using Swin Transformer (official repository)
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
Real-ESRGAN 的目标是开发出实用的图像修复算法
Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
#计算机科学#SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis (Machine Intelligence Research 2023)
#计算机科学#FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)
#数据仓库#Techniques for deep learning with satellite & aerial imagery
PyTorch code for our ICCV 2023 paper "Dual Aggregation Transformer for Image Super-Resolution"
Official repo for VGen: a holistic video generation ecosystem for video generation building on diffusion models
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
#计算机科学#59 篇深度学习论文的实现,并带有详细注释。包括 transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 强化学习 (ppo, dqn), capsnet, distillation, ... 🧠
#计算机科学#Revisiting RCAN: Improved Training for Image Super-Resolution
SD-Trainer. LoRA & Dreambooth training scripts & GUI use kohya-ss's trainer, for diffusion model.
DUSt3R: Geometric 3D Vision Made Easy
#计算机科学#GFPGAN 是腾讯开源的人脸修复算法,它利用预先训练好的面部 GAN(如 StyleGAN2)中封装的丰富和多样的先验因素进行盲脸 (blind face) 修复
Official repository for the paper titled "Bitstream-corrupted Video Recovery: A Novel Benchmark Dataset and Method", accepted by NeurIPS 2023 Dataset and Benchmark Track