5 papers
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'…
Multiple Hypothesis Flow Estimation for Video Frame Interpolation under Matching Ambiguity
Zibo Su, Jing Kong, Ruixing Wang +2
Many flow-based video frame interpolation (VFI) methods synthesize an intermediate frame by estimating optical flow fields, warping the two input frames, and blending the warped ob…
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…
Boosting Fidelity for Pre-Trained-Diffusion-Based Low-Light Image Enhancement via Condition Refinement
Xiaogang Xu, Jian Wang, Yunfan Lu +5
Diffusion-based methods, leveraging pre-trained large models like Stable Diffusion via ControlNet, have achieved remarkable performance in several low-level vision tasks. However,…