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Taesung Park*

2 accepted papers

2024

Distilling Diffusion Models into Conditional GANs

ECCV 2024poster

"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 quality. Our approach interprets diffusion distillation as a paired image-to-image translation task, using noise-to-image…

Cited by 39SourcePDFScholar
2024

Editable Image Elements for Controllable Synthesis

ECCV 2024poster

"Diffusion models have made significant advances in text-guided synthesis tasks. However, editing user-provided images remains challenging, as the high dimensional noise input space of diffusion models is not naturally suited for image inversion or spatial editing. In this work, we propose an image…

Cited by 8SourcePDFScholar