2026
Diffusion-Based sRGB Real Noise Generation via Prompt-Driven Noise Representation Learning
CVPR 2026
Denoising in the sRGB image space is challenging due to large noise variability. Although end-to-end methods perform well, their effectiveness in real-world scenarios is limited by the scarcity of real noisy-clean image pairs, which are expensive and difficult to collect. To address this limitation,