Search Results for author: Yong-Hyun Park

Found 3 papers, 0 papers with code

Upsample Guidance: Scale Up Diffusion Models without Training

no code implementations2 Apr 2024 Juno Hwang, Yong-Hyun Park, Junghyo Jo

We demonstrate that upsample guidance can be applied to various models, such as pixel-space, latent space, and video diffusion models.

Resolution Chromatography of Diffusion Models

no code implementations7 Dec 2023 Juno Hwang, Yong-Hyun Park, Junghyo Jo

In this paper, we introduce "resolution chromatography" that indicates the signal generation rate of each resolution, which is very helpful concept to mathematically explain this coarse-to-fine behavior in generation process, to understand the role of noise schedule, and to design time-dependent modulation.

Denoising Image Generation

Unsupervised Discovery of Semantic Latent Directions in Diffusion Models

no code implementations24 Feb 2023 Yong-Hyun Park, Mingi Kwon, Junghyo Jo, Youngjung Uh

Despite the success of diffusion models (DMs), we still lack a thorough understanding of their latent space.

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