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cs.CV2025
Realistic Noise Synthesis with Diffusion Models
Qi Wu, Mingyan Han, Ting Jiang +5
Deep denoising models require extensive real-world training data, which is challenging to acquire. Current noise synthesis techniques struggle to accurately model complex noise dis…
cs.CV2024
Diff-Shadow: Global-guided Diffusion Model for Shadow Removal
Jinting Luo, Ru Li, Chengzhi Jiang +5
We propose Diff-Shadow, a global-guided diffusion model for shadow removal. Previous transformer-based approaches can utilize global information to relate shadow and non-shadow reg…
cs.CV2024
Improving Bracket Image Restoration and Enhancement with Flow-guided Alignment and Enhanced Feature Aggregation
Wenjie Lin, Zhen Liu, Chengzhi Jiang +3
In this paper, we address the Bracket Image Restoration and Enhancement (BracketIRE) task using a novel framework, which requires restoring a high-quality high dynamic range (HDR)…