• InstaGAN:Instance-Aware Image To Image Translation
• [HINet]HINet: Half Instance Normalization Network for Image Restoration
• [MPRNet]Multi-Stage Progressive Image Restoration
• [LPTN]High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network
• [FabSoften]Face Beautification via Dynamic Skin Smoothing, Guided Feathering, and Texture Restoration
• bilateral guided upsampling
• s-LWSR: Super Lightweight Super-Resolution Network
• When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach
• [EnlightenGAN]EnlightenGAN: Deep Light Enhancement without Paired Supervision
• [FormNet]FormNet: Formatted Learning for Image Restoration
• 美图MTlab人像画质修复技术
• [CPGAN]Copy and Paste GAN: Face Hallucination from Shaded Thumbnails
• One-Shot Domain Adaptation For Face Generation
• GANILLA: Generative Adversarial Networks for Image to Illustration Translation
• Image Processing Using Multi-Code GAN Prior
• [CycleGAN]Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
• Revisiting Global Statistics Aggregation for Improving Image Restoration
• U-Net Training with Instance-Layer Normalization
• styleGAN2扩展：从真实人脸中提取图像的latent code
• PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
• Bringing Old Photos Back to Life
• Image Restoration的简单整理
• VAE笔记
• [MIRNet]Learning Enriched Features for Real Image Restoration and Enhancement
• [DFDNet]Blind Face Restoration via Deep Multi-scale Component Dictionaries
• [PSFR-GAN]Progressive Semantic-Aware Style Transformation for Blind Face Restoration
• [StyleGAN2]Analyzing and Improving the Image Quality of StyleGAN
• [stylegan]A Style-Based Generator Architecture for Generative Adversarial Networks
• [HDRNet]Deep Bilateral Learning for Real-Time Image Enhancement
• [MobileStyleGAN]MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image Synthesis
• [HRNet]Deep High-Resolution Representation Learning for Visual Recognition
• [StarGAN v2]StarGAN v2: Diverse Image Synthesis for Multiple Domains