Improving diffusion models for virtual try-on Y Choi, S Kwak, K Lee, H Choi, J Shin arXiv e-prints, arXiv: 2403.05139, 2024 | 39 | 2024 |
Representation alignment for generation: Training diffusion transformers is easier than you think S Yu, S Kwak, H Jang, J Jeong, J Huang, J Shin, S Xie arXiv preprint arXiv:2410.06940, 2024 | 29 | 2024 |
Beyond Instructions: A Taxonomy of Information Types in How-to Videos S Yang, S Kwak, J Lee, J Kim Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 12 | 2023 |
Direct consistency optimization for compositional text-to-image personalization K Lee, S Kwak, K Sohn, J Shin arXiv e-prints, arXiv: 2402.12004, 2024 | 10 | 2024 |
Improving diffusion models for authentic virtual try-on in the wild Y Choi, S Kwak, K Lee, H Choi, J Shin European Conference on Computer Vision, 206-235, 2024 | 8 | 2024 |
Improving Video Interfaces by Presenting Informational Units of Videos S Yang, S Kwak, TS Kim, J Kim CHI’22 Extended Abstracts. Association for Computing Machinery, 2022 | 4 | 2022 |
Few-shot anomaly detection via personalization S Kwak, J Jeong, H Lee, W Kim, D Seo, W Yun, W Lee, J Shin IEEE Access 12, 11035-11051, 2024 | 3 | 2024 |
Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models K Lee, S Kwak, K Sohn, J Shin Advances in Neural Information Processing Systems 37, 103269-103304, 2025 | 1 | 2025 |
Controllable Human Image Generation with Personalized Multi-Garments Y Choi, S Kwak, S Yu, H Choi, J Shin arXiv preprint arXiv:2411.16801, 2024 | | 2024 |
reBalance: A Customizable Data Visualization Approach to Keeping a Balanced Health S Kwak, NS Listyo, J Park, U Lee 한국 HCI 학회 학술대회, 735-738, 2022 | | 2022 |