March 21, 2024, 4:46 a.m. | Qiang Wen, Yazhou Xing, Zhefan Rao, Qifeng Chen

cs.CV updates on arXiv.org arxiv.org

arXiv:2312.01027v3 Announce Type: replace
Abstract: Enhancing a low-light noisy RAW image into a well-exposed and clean sRGB image is a significant challenge for modern digital cameras. Prior approaches have difficulties in recovering fine-grained details and true colors of the scene under extremely low-light environments due to near-to-zero SNR. Meanwhile, diffusion models have shown significant progress towards general domain image generation. In this paper, we propose to leverage the pre-trained latent diffusion model to perform the neural ISP for enhancing extremely …

arxiv cs.cv diffusion diffusion models latent diffusion models ldm light low type

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