The U-Net architecture has also been employed in diffusion models for iterative image denoising.[6] This technology underlies many modern image generation models, such as DALL-E, Midjourney, and Stable Diffusion.
^ abRonneberger O, Fischer P, Brox T (2015). "U-Net: Convolutional Networks for Biomedical Image Segmentation". arXiv:1505.04597 [cs.CV].
^Nazem, Fatemeh; Ghasemi, Fahimeh; Fassihi, Afshin; Mehri Dehnavi, Alireza (2021). "3D U-Net: A Voxel-based method in binding site prediction of protein structure". Journal of Bioinformatics and Computational Biology. 19 (2). doi:10.1142/S0219720021500062. PMID33866960.