Jinjin Gu

papers

3,584

total citations

papers (21)

PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration

ECCV 2020arXiv

258

citations

Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

CVPR 2024arXiv

237

citations

Cross Aggregation Transformer for Image Restoration

NEURIPS 2022arXiv

211

citations

Hierarchical Integration Diffusion Model for Realistic Image Deblurring

NEURIPS 2023arXiv

121

citations

Masked Image Training for Generalizable Deep Image Denoising

CVPR 2023arXiv

111

citations

Rethinking Alignment in Video Super-Resolution Transformers

NEURIPS 2022arXiv

105

citations

Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models

ECCV 2024arXiv

citations

Teaching Large Language Models to Regress Accurate Image Quality Scores Using Score Distribution

CVPR 2025arXiv

citations

Reflash Dropout in Image Super-Resolution

CVPR 2022arXiv

citations

Xformer: Hybrid X-Shaped Transformer for Image Denoising

ICLR 2024arXiv

citations

An Intelligent Agentic System for Complex Image Restoration Problems

ICLR 2025arXiv

citations

Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning

CVPR 2024arXiv

citations

Networks are Slacking Off: Understanding Generalization Problem in Image Deraining

NEURIPS 2023arXiv

citations

Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images

ECCV 2022arXiv

citations

Texture-Based Error Analysis for Image Super-Resolution

CVPR 2022

citations

Snow Removal in Video: A New Dataset and A Novel Method

ICCV 2023

citations

DegAE: A New Pretraining Paradigm for Low-Level Vision

CVPR 2023

citations

Jinjin Gu

papers (21)

Interpreting the Latent Space of GANs for Semantic Face Editing

Image Processing Using Multi-Code GAN Prior

Dual Aggregation Transformer for Image Super-Resolution

Interpreting Super-Resolution Networks With Local Attribution Maps

PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration

Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Cross Aggregation Transformer for Image Restoration

Hierarchical Integration Diffusion Model for Realistic Image Deblurring

Masked Image Training for Generalizable Deep Image Denoising

Rethinking Alignment in Video Super-Resolution Transformers

Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models

Teaching Large Language Models to Regress Accurate Image Quality Scores Using Score Distribution

Reflash Dropout in Image Super-Resolution

Xformer: Hybrid X-Shaped Transformer for Image Denoising

An Intelligent Agentic System for Complex Image Restoration Problems

Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning

Networks are Slacking Off: Understanding Generalization Problem in Image Deraining

Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images

Texture-Based Error Analysis for Image Super-Resolution

Snow Removal in Video: A New Dataset and A Novel Method

DegAE: A New Pretraining Paradigm for Low-Level Vision

papers (21)

Interpreting the Latent Space of GANs for Semantic Face Editing

Image Processing Using Multi-Code GAN Prior

Dual Aggregation Transformer for Image Super-Resolution

Interpreting Super-Resolution Networks With Local Attribution Maps

PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration

Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Cross Aggregation Transformer for Image Restoration

Hierarchical Integration Diffusion Model for Realistic Image Deblurring

Masked Image Training for Generalizable Deep Image Denoising

Rethinking Alignment in Video Super-Resolution Transformers

Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models

Teaching Large Language Models to Regress Accurate Image Quality Scores Using Score Distribution

Reflash Dropout in Image Super-Resolution

Xformer: Hybrid X-Shaped Transformer for Image Denoising

An Intelligent Agentic System for Complex Image Restoration Problems

Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning

Networks are Slacking Off: Understanding Generalization Problem in Image Deraining

Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images

Texture-Based Error Analysis for Image Super-Resolution

Snow Removal in Video: A New Dataset and A Novel Method

DegAE: A New Pretraining Paradigm for Low-Level Vision