Palette: Image-to-Image Diffusion Models. (arXiv:2111.05826v2 [cs.CV] UPDATED)

This paper develops a unified framework for image-to-image translation based
on conditional diffusion models and evaluates this framework on four
challenging image-to-image translation tasks, namely colorization, inpainting,
uncropping, and JPEG restoration. Our simple implementation of image-to-image
diffusion models outperforms strong GAN and regression baselines on all tasks,
without task-specific hyper-parameter tuning, architecture customization, or
any auxiliary loss or sophisticated new techniques needed. We uncover the
impact of an L2 vs. L1 loss in the denoising diffusion objective on sample
diversity, …

arxiv cv diffusion diffusion models image palette