3 papers
cs.CV2024
Upsample Guidance: Scale Up Diffusion Models without Training
Juno Hwang, Yong-Hyun Park, Junghyo Jo
Diffusion models have demonstrated superior performance across various generative tasks including images, videos, and audio. However, they encounter difficulties in directly genera…
cs.CV2023
Resolution Chromatography of Diffusion Models
Juno Hwang, Yong-Hyun Park, Junghyo Jo
Diffusion models generate high-resolution images through iterative stochastic processes. In particular, the denoising method is one of the most popular approaches that predicts the…
cs.CV2020
Tractable loss function and color image generation of multinary restricted Boltzmann machine
Juno Hwang, Wonseok Hwang, Junghyo Jo
The restricted Boltzmann machine (RBM) is a representative generative model based on the concept of statistical mechanics. In spite of the strong merit of interpretability, unavail…