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Yongsong Huang

2 accepted papers

2026

GTFMN: Guided Texture and Feature Modulation Network for Low-Light Image Enhancement and Super-Resolution

ICASSP 2026oral

Low-light image super-resolution (LLSR) is a challenging task due to the coupled degradation of low resolution and poor illumination. To address this, we propose the Guided Texture and Feature Modulation Network (GTFMN), a novel framework that decouples the LLSR task into two sub-problems: illuminat…

Cited by 0SourcePDFScholar
2026

POCA: Pareto-Optimal Curriculum Alignment for Visual Text Generation

CVPR 2026

Current visual text generation models struggle with the trade-off between text accuracy and overall image coherence. We find that achieving high text accuracy can reduce aesthetic quality and instruction-following capability. Although reinforcement learning approaches can alleviate the problem throu

Cited by 0SourceScholar