2 citations · 2 across the 5 of their papers we have counts for
5 papers · 1 filter
Dotting the Eye: An Intent-Driven Image Retouching Agent for Visual Focus Enhancement
Chujie Qin, Zilong Zhang, Zewei Chang +5
Image retouching is commonly formulated as enhancing overall visual quality through color adjustment, but in practice, it also serves to emphasize visual focus by guiding viewers'…
HDRAgent: An Agentic Framework for Multi-Exposure HDR Imaging
Weiyu Zhou, Tao Hu, Yijian Wang +3
Most existing multi-exposure HDR methods follow a fixed feed-forward reconstruction paradigm, making them prone to ghosting artifacts in complex dynamic scenes. To address this iss…
Low-Light Video Enhancement with An Effective Spatial-Temporal Decomposition Paradigm
Xiaogang Xu, Kun Zhou, Tao Hu +4
Low-Light Video Enhancement (LLVE) seeks to restore dynamic or static scenes plagued by severe invisibility and noise. In this paper, we present an innovative video decomposition s…
Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition
Xiaogang Xu, Kun Zhou, Tao Hu +4
Low-Light Video Enhancement (LLVE) seeks to restore dynamic or static scenes plagued by severe invisibility and noise. In this paper, we present an innovative video decomposition s…
Boosting Image Restoration via Priors from Pre-trained Models
Xiaogang Xu, Shu Kong, Tao Hu +2
Pre-trained models with large-scale training data, such as CLIP and Stable Diffusion, have demonstrated remarkable performance in various high-level computer vision tasks such as i…