1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples
Min Gu Kwak, Hyungu Kahng, Seoung Bum Kim
Semi-supervised learning methods have shown promising results in solving many practical problems when only a few labels are available. The existing methods assume that the class di…
cs.CV2024★ 1 cited
Noise Map Guidance: Inversion with Spatial Context for Real Image Editing
Hansam Cho, Jonghyun Lee, Seoung Bum Kim +2
Text-guided diffusion models have become a popular tool in image synthesis, known for producing high-quality and diverse images. However, their application to editing real images o…
cs.CV2024★ 1 cited
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Jonghyun Lee, Hansam Cho, Youngjoon Yoo +2
Addressing the limitations of text as a source of accurate layout representation in text-conditional diffusion models, many works incorporate additional signals to condition certai…