collaborators

24 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

QuantSR+: Pushing the Limit of Quantized Image Super-Resolution Networks

Haotong Qin, Xudong Ma, Xianglong Liu +4

Low-bit quantization is widely used to compress super-resolution (SR) models and reduce storage and computation costs for deployment on resource-limited devices. However, when SR m…

cs.CV2026

VDFP: Video Deflickering with Flicker-banding Priors

Zhiyi Zhou, Libo Zhu, Zihan Zhou +2

Capturing digital screens with smartphones frequently induces severe banding due to hardware synchronization mismatches. Existing video restoration methods struggle with these stru…

cs.CV2026

Accelerating Rectified Flow Models via Trajectory-Aware Caching

Xiao Liu, Kai Liu, Naiyang Guan +5

Diffusion and rectified flow (RF) models generate high-fidelity images and videos, but their iterative velocity-field evaluations are computationally expensive. Existing caching me…

cs.CV2026

FideDiff: Efficient Diffusion Model for High-Fidelity Image Motion Deblurring

Xiaoyang Liu, Zhengyan Zhou, Zihang Xu +3

Recent advancements in image motion deblurring, driven by CNNs and transformers, have made significant progress. Large-scale pre-trained diffusion models, which are rich in real-wo…