Dual-AttnGAN: A dual-input GAN for joint low-light image enhancement and 4× super-resolution, fusing wide-angle and zoomed images via asymmetric cross-attention.
-
Updated
Dec 2, 2025 - Jupyter Notebook
Dual-AttnGAN: A dual-input GAN for joint low-light image enhancement and 4× super-resolution, fusing wide-angle and zoomed images via asymmetric cross-attention.
These are the results for Focal Frequency Loss for Image Reconstruction and Synthesis paper but with different dataset. In this case the TFW: Annotated Thermal Faces in the Wild Dataset. By using novel focal frequency loss it allows a model to adaptively focus on frequency components that are hard to synthesize by down weighting the easy ones.
Add a description, image, and links to the focal-frequency-loss topic page so that developers can more easily learn about it.
To associate your repository with the focal-frequency-loss topic, visit your repo's landing page and select "manage topics."