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Hello! I’m Bryan Sangwoo Kim.
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Currently a 2nd-year M.S. Student at KAIST AI.
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Interested in multimodal generative models, image & video diffusion models, and inverse problems.
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Greatly interested in research opportunities for 2026. Visit my website!
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Feel free to reach out to me at bryanswkim(at)kaist.ac.kr or lodingkim(at)gmail.com
Recent Papers
[NeurIPS 2025 Spotlight] Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment
Bryan Sangwoo Kim, Jeongsol Kim, Jong Chul Ye
Paper | Project
[ICCV 2025] FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems
Jeongsol Kim*, Bryan Sangwoo Kim*, Jong Chul Ye (*equal contribution)
Paper
[ICCV 2025] Free^2Guide: Training-Free Text-to-Video Alignment using Image LVLM
Jaemin Kim, Bryan Sangwoo Kim, Jong Chul Ye
Paper | Project
[CVPR 2025] VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide
Dohun Lee*, Bryan Sangwoo Kim*, Geon Yeong Park, Jong Chul Ye (*equal contribution)
Paper | Project
[Preprint] Align Your Query: Representation Alignment for Multimodality Medical Object Detection
Ara Seo*, Bryan Sangwoo Kim*, Hyungjin Chung, Jong Chul Ye (*equal contribution)
Paper | Project
[Preprint] Extreme Blind Image Restoration via Prompt-Conditioned Information Bottleneck
Hongeun Kim*, Bryan Sangwoo Kim*, Jong Chul Ye (*equal contribution)
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