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while SR focuses specifically on enhancing existing low-resolution (LR) images by adding typically missing high-frequency details. This oversight not only increases the training difficulty but also ...

More coming soon. The above model is finetuned from SD 2.0-base, which was trained as a standard noise-prediction model on 512x512 images and is also made available. Added a x4 upscaling latent ...

This is achieved by constructing a terrain-guided content feature learning network, where the core idea is to transfer the feature representation of high-resolution image textures with the guidance of ...

State Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Kowloon, Hong Kong SAR 999077, China Department of Chemistry, Hong Kong Baptist University, Kowloon, Hong ...