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Lishen Qu

4 accepted papers

2026

It Takes Two: A Duet of Periodicity and Directionality for Burst Flicker Removal

CVPR 2026

Flicker artifacts, arising from unstable illumination and row-wise exposure inconsistencies, pose a significant challenge in short-exposure photography, severely degrading image quality. Unlike typical artifacts, e.g., noise and low-light, flicker is a structured degradation with specific spatial-te

Cited by 0SourcecodeScholar
2025

BurstDeflicker: A Benchmark Dataset for Flicker Removal in Dynamic Scenes

NeurIPS 2025poster

Flicker artifacts in short-exposure images are caused by the interplay between the row-wise exposure mechanism of rolling shutter cameras and the temporal intensity variations of alternating current (AC)-powered lighting. These artifacts typically appear as uneven brightness distribution across the…

Cited by 0SourceScholar
2025

FlareX: A Physics-Informed Dataset for Lens Flare Removal via 2D Synthesis and 3D Rendering

NeurIPS 2025poster

Lens flare occurs when shooting towards strong light sources, significantly degrading the visual quality of images. Due to the difficulty in capturing flare-corrupted and flare-free image pairs in the real world, existing datasets are typically synthesized in 2D by overlaying artificial flare templa…

Cited by 0SourceScholar
2024

Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restoration

ECCV 2024poster

"How to explore useful features from images as prompts to guide the deep image restoration models is an effective way to solve image restoration. In contrast to mining spatial relations within images as prompt, which leads to characteristics of different frequencies being neglected and further remai…