You're currently viewing an old version of this dataset. To see the current version, click here.

Palette: Image-to-Image Diffusion Models

Image-to-image translation is an important and challenging problem in computer vision and image processing. Diffusion models have shown great potentials for high-quality image synthesis, and have gained competitive performance on the task of image-to-image translation.

Data and Resources

Cite this as

Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J Fleet, Mohammad Norouzi (2024). Dataset: Palette: Image-to-Image Diffusion Models. https://doi.org/10.57702/punwflel

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2205.07680
Author Chitwan Saharia
More Authors
Jonathan Ho
William Chan
Tim Salimans
David J Fleet
Mohammad Norouzi
Homepage https://arxiv.org/abs/2111.05826