| 2025 | ICLR | TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation. | Gihyun Kwon, Jong Chul Ye |
| 2024 | AAAI | Patch-Wise Graph Contrastive Learning for Image Translation. | Chanyong Jung, Gihyun Kwon, Jong Chul Ye |
| 2024 | CVPR | Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models. | Gihyun Kwon, Simon Jenni, Dingzeyu Li, Joon-Young Lee, Jong Chul Ye, Fabian Caba Heilbron |
| 2024 | CVPR | Contrastive Denoising Score for Text-Guided Latent Diffusion Image Editing. | Hyelin Nam, Gihyun Kwon, Geon Yeong Park, Jong Chul Ye |
| 2024 | ICLR | Unpaired Image-to-Image Translation via Neural Schrdinger Bridge. | Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Chul Ye |
| 2024 | ICLR | ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF. | Jangho Park, Gihyun Kwon, Jong Chul Ye |
| 2023 | ICLR | Diffusion-based Image Translation using disentangled style and content representation. | Gihyun Kwon, Jong Chul Ye |
| 2022 | CVPR | Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks. | Chanyong Jung, Gihyun Kwon, Jong Chul Ye |
| 2022 | CVPR | CLIPstyler: Image Style Transfer with a Single Text Condition. | Gihyun Kwon, Jong Chul Ye |
| 2021 | ICCV | Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation. | Gihyun Kwon, Jong Chul Ye |
| 2019 | BMVC | Progressive Face Super-Resolution via Attention to Facial Landmark. | Deokyun Kim, Minseon Kim, Gihyun Kwon, Daeshik Kim |
| 2019 | IJCNN | Representation of white- and black-box adversarial examples in deep neural networks and humans: A functional magnetic resonance imaging study. | Chihye Han, Wonjun Yoon, Gihyun Kwon, Daeshik Kim, Seungkyu Nam |
| 2019 | MICCAI | Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks. | Gihyun Kwon, Chihye Han, Daeshik Kim |