1 citations · 2 across the 6 of their papers we have counts for
7 papers
FAPE-IR: Frequency-Aware Planning and Execution Framework for All-in-One Image Restoration
Jingren Liu, Shuning Xu, Qirui Yang +3
All-in-One Image Restoration (AIO-IR) aims to develop a unified model that can handle multiple degradations under complex conditions. However, existing methods often rely on task-s…
TeleEgo: Benchmarking Egocentric AI Assistants in the Wild
Jiaqi Yan, Ruilong Ren, Jingren Liu +13
Egocentric AI assistants in real-world settings must process multi-modal inputs (video, audio, text), respond in real time, and retain evolving long-term memory. However, existing…
RASR: Retrieval-Augmented Super Resolution for Practical Reference-based Image Restoration
Jiaqi Yan, Shuning Xu, Xiangyu Chen +5
Reference-based Super Resolution (RefSR) improves upon Single Image Super Resolution (SISR) by leveraging high-quality reference images to enhance texture fidelity and visual reali…
CCD: Continual Consistency Diffusion for Lifelong Generative Modeling
Jingren Liu, Shuning Xu, Yun Wang +2
While diffusion-based models have shown remarkable generative capabilities in static settings, their extension to continual learning (CL) scenarios remains fundamentally constraine…
Alignment-free Raw Video Demoireing
Shuning Xu, Xina Liu, Binbin Song +3
Video demoireing aims to remove undesirable interference patterns that arise during the capture of screen content, restoring artifact-free frames while maintaining temporal consist…
Image Demoireing in RAW and sRGB Domains
Shuning Xu, Binbin Song, Xiangyu Chen +2
Moire patterns frequently appear when capturing screens with smartphones or cameras, potentially compromising image quality. Previous studies suggest that moire pattern elimination…
CNN Injected Transformer for Image Exposure Correction
Shuning Xu, Xiangyu Chen, Binbin Song +1
Capturing images with incorrect exposure settings fails to deliver a satisfactory visual experience. Only when the exposure is properly set, can the color and details of the images…