awesome-image-translation

Why we included this project

Image-to-image translation has moved fast, and this list tracks it year by year, from the pre-2018 classics through 2025. That organization makes it easy to see how techniques like GANs, diffusion models, and style transfer evolved and where the field stands now, without digging through a decade of papers yourself. Each entry links to the paper PDF, project page, and code, so you can compare implementations side by side before committing to one. The maintainer also flags a few open-source frameworks for training custom models, which is a useful bridge from reading papers to actually building something. It is a reference shelf, not software you run, but for anyone scoping a computer-vision project it is a quick way to survey the available approaches and their trade-offs.