Enhancing Descriptive Image Quality Assessment With a Large-Scale Multi-Modal Dataset
A multi-functional VLM-based IQA model with a 495K large-scale dataset, surpassing GPT-4V
Publications
Research archive · 2022—present
Peer-reviewed work across image restoration and enhancement, vision-language image quality understanding, efficient architectures, model interpretation, and controllable generation.
Towards Efficient SDRTV-to-HDRTV by Learning from Image Formation
An efficient three-step SDRTV-to-HDRTV conversion method with only 35K parameters for global color mapping
UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models
Unidirectional information flow reduces GPU memory by 1/3 and speeds up training by 2.3x for diffusion model control
Interpreting Low-Level Vision Models With Causal Effect Maps
Introduce causality theory to interpret low-level vision models with a model-/task-agnostic method
A Comparative Study of Image Restoration Networks for General Backbone Network Design
Propose a general backbone for image restoration
Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models
Propose a language-based image quality assessment method
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
The most powerful image restoration and enhancement tool that is nearly ready for commercial use
Research of Single Image Super Resolution Based on Attention Mechanism
A survey on Single Image Super-Resolution
Blueprint Separable Residual Network for Efficient Image Super-Resolution
Winner in NTIRE 2022 Efficient SR sub-track: Model Complexity