83 citations · 756 across the 59 of their papers we have counts for
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Pyramidal Denoising Diffusion Probabilistic Models
Dohoon Ryu, Jong Chul Ye
Recently, diffusion model have demonstrated impressive image generation performances, and have been extensively studied in various computer vision tasks. Unfortunately, training an…
Diffusion-based Image Translation using Disentangled Style and Content Representation
Gihyun Kwon, Jong Chul Ye
Diffusion-based image translation guided by semantic texts or a single target image has enabled flexible style transfer which is not limited to the specific domains. Unfortunately,…
Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis
Sangyun Lee, Hyungjin Chung, Jaehyeon Kim +1
Recently, diffusion models have shown remarkable results in image synthesis by gradually removing noise and amplifying signals. Although the simple generative process surprisingly…
Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks
Chanyong Jung, Gihyun Kwon, Jong Chul Ye
Recently, contrastive learning-based image translation methods have been proposed, which contrasts different spatial locations to enhance the spatial correspondence. However, the m…
One-Shot Adaptation of GAN in Just One CLIP
Gihyun Kwon, Jong Chul Ye
There are many recent research efforts to fine-tune a pre-trained generator with a few target images to generate images of a novel domain. Unfortunately, these methods often suffer…