Jinjin Gu
30 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(52)
π¬
Deep Specialist
(16)
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Triple Crown
π€
Dynamic Duo
(15)
π
Grand Slam
ποΈ
Keyword Collector
(122)
π
Century Club
(30)
β‘
Prolific Year
(7)
π₯
Unstoppable
(7)
Conferences
CVPR (11)
ICLR (6)
NIPS (6)
ECCV (3)
ICCV (2)
AAAI (1)
ICML (1)
Top co-authors
Keywords
image restoration
(10)
image super-resolution
(4)
image reconstruction
(3)
self-supervised learning
(3)
transformer architecture
(3)
latent space
(3)
domain generalization
(2)
attention mechanism
(2)
generalization ability
(2)
image deraining
(2)
multimodal large language model
(2)
low-level vision
(2)
diffusion model
(2)
video super-resolution
(2)
generative adversarial network
(2)
multi-modal learning
(1)
self-attention mechanism
(1)
contrastive learning
(1)
computer vision
(1)
deep learning
(1)
Papers
An Intelligent Agentic System for Complex Image Restoration Problems
ICLR 2025
UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models
ICLR 2025
Teaching Large Language Models to Regress Accurate Image Quality Scores Using Score Distribution
CVPR 2025
Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model
ICLR 2025
Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
CVPR 2024
Recursive Generalization Transformer for Image Super-Resolution
ICLR 2024
Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models
ECCV 2024
Xformer: Hybrid X-Shaped Transformer for Image Denoising
ICLR 2024
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection
NIPS 2024
RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models
NIPS 2024
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
CVPR 2024
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution
ICML 2023
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining
NIPS 2023
Hierarchical Integration Diffusion Model for Realistic Image Deblurring
NIPS 2023
Mitigating Artifacts in Real-World Video Super-resolution Models
AAAI 2023
DegAE: A New Pretraining Paradigm for Low-Level Vision
CVPR 2023
Masked Image Training for Generalizable Deep Image Denoising
CVPR 2023
Dual Aggregation Transformer for Image Super-Resolution
ICCV 2023
Snow Removal in Video: A New Dataset and A Novel Method
ICCV 2023
Accurate Image Restoration with Attention Retractable Transformer
ICLR 2023
Reflash Dropout in Image Super-Resolution
CVPR 2022
Rethinking Alignment in Video Super-Resolution Transformers
NIPS 2022
Cross Aggregation Transformer for Image Restoration
NIPS 2022
Texture-Based Error Analysis for Image Super-Resolution
CVPR 2022
Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images
ECCV 2022
Interpreting Super-Resolution Networks With Local Attribution Maps
CVPR 2021
Interpreting the Latent Space of GANs for Semantic Face Editing
CVPR 2020
Image Processing Using Multi-Code GAN Prior
CVPR 2020
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration
ECCV 2020
Blind Super-Resolution With Iterative Kernel Correction
CVPR 2019