collaborators

6 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

3D-UIR: 3D Gaussian for Underwater 3D Scene Reconstruction via Physics Based Appearance-Medium Decoupling

Jieyu Yuan, Yujun Li, Yuanlin Zhang +4

Novel view synthesis for underwater scene reconstruction presents unique challenges due to complex light-media interactions. Optical scattering and absorption in water body bring i…

cs.CV2026

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…

cs.CV2025

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,…

cs.CV2025

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…