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Mingyan Han

2 accepted papers

2025

Diff-Shadow: Global-guided Diffusion Model for Shadow Removal

Jinting Luo, Ru Li, Chengzhi Jiang, Xiaoming Zhang, Mingyan Han, Ting Jiang +2
AAAI 2025technical

We propose Diff-Shadow, a global-guided diffusion model for high-quality shadow removal. Previous transformer-based approaches can utilize global information to relate shadow and non-shadow regions but are limited in their synthesis ability and recover images with obvious boundaries. In contrast, di…

Cited by 4Source ↗PDF ↗code ↗Scholar ↗
2025

Realistic Noise Synthesis with Diffusion Models

Qi Wu, Mingyan Han, Ting Jiang, Chengzhi Jiang, Jinting Luo, Man Jiang +2
AAAI 2025technical

Deep denoising models require extensive real-world training data, which is challenging to acquire. Current noise synthesis techniques struggle to accurately model complex noise distributions. We propose a novel Realistic Noise Synthesis Diffusor (RNSD) method using diffusion models to address these…

Cited by 2Source ↗PDF ↗code ↗Scholar ↗