2 papers
cs.CV2024
A Bottom-Up Approach to Class-Agnostic Image Segmentation
Sebastian Dille, Ari Blondal, Sylvain Paris +1
Class-agnostic image segmentation is a crucial component in automating image editing workflows, especially in contexts where object selection traditionally involves interactive too…
cs.CV2024
Distilling Diffusion Models into Conditional GANs
Minguk Kang, Richard Zhang, Connelly Barnes +6
We propose a method to distill a complex multistep diffusion model into a single-step conditional GAN student model, dramatically accelerating inference, while preserving image qua…