collaborators

6 papers

cs.CV2026

Bricker to BRACE: A Bracket Exposure RAW Dataset and Restoration Model for Flicker-Banding

Zihan Zhou, Libo Zhu, Jue Gong +4

Flicker-banding (FB), arises from temporal aliasing between a camera's rolling shutter and a display's brightness modulation, degrading screen-captured image readability with color…

cs.CV2026

Freqformer: Image-Demoiréing Transformer via Effective Frequency Decomposition

Xiaoyang Liu, Bolin Qiu, Zheng Chen +5

Image demoiréing remains a challenging task due to the complex interplay between texture corruption and color distortions caused by moiré patterns. Existing methods, especially t…

cs.CV2026

LCUDiff: Latent Capacity Upgrade Diffusion for Faithful Human Body Restoration

Jue Gong, Zihan Zhou, Jingkai Wang +4

Existing methods for restoring degraded human-centric images often struggle with insufficient fidelity, particularly in human body restoration (HBR). Recent diffusion-based restora…

cs.CV2026

Light Up Your Face: A Physically Consistent Dataset and Diffusion Model for Face Fill-Light Enhancement

Jue Gong, Zihan Zhou, Jingkai Wang +3

Face fill-light enhancement (FFE) brightens underexposed faces by adding virtual fill light while keeping the original scene illumination and background unchanged. Most face religh…

cs.CV2026

Combined Flicker-banding and Moire Removal for Screen-Captured Images

Libo Zhu, Zihan Zhou, Zhiyi Zhou +5

Capturing display screens with mobile devices has become increasingly common, yet the resulting images often suffer from severe degradations caused by the coexistence of moiré pat…

cs.CV2025

RIFLE: Removal of Image Flicker-Banding via Latent Diffusion Enhancement

Libo Zhu, Zihan Zhou, Xiaoyang Liu +4

Capturing screens is now routine in our everyday lives. But the photographs of emissive displays are often influenced by the flicker-banding (FB), which is alternating bright%u2013…