BISPL @ KAIST AI - BioImaging, Signal Processing, & machine Learning lab.
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Latest Research Highlight
PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment 

Suhyeon Lee et al,  CVPR 2026.

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Congratulations -- Three papers have been accepted to CVPR 2026!

2/21/2026

 
The following papers have  been accepted to CVPR 2026. Congratulations for all authors!
  • Suhyeon Lee, Jong Chul Ye, "PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment",  in Proceedings of The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),  2026.
  • Byeongjun Park, Byung-Hoon Kim, Hyungjin Chung, Jong Chul Ye,"ReDirector: Creating Any-Length Video Retakes with Rotary Camera Encoding", in Proceedings of The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),  2026.
  • Taesung Kwon, Lorenzo Bianchi, Lennart Wittke, Felix Watine, Fabio Carrara, Jong Chul Ye, Romann M. Weber, Vinicius C. Azevedo, "Reviving ConvNeXt for Efficient Convolutional Diffusion Models",  in Proceedings of The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),  2026.

Congratulations to BISPL's New Tenure-Track Faculty

2/20/2026

 
Congratulations! The following BISPL alumnus has been appointed as a tenure-track assistant professor, effective Spring 2026. To date, BISPL has placed 19 alumni in faculty positions in academia.
  • Yujin Oh (PhD. 2024. 2):  Yonsei University,  Assistant Professor (Spring 2026)​

Congratulations -- five papers accepted to ICLR 2026!

1/26/2026

 
We’re pleased to announce that the following papers have been accepted to ICLR 2026. Congratulations to all authors!​
  1. Jinho Chang, Jaemin Kim, Jong Chul Ye, "Training-Free Reward-Guided Image Editing via Trajectory Optimal Control",  in Proceedings of The Fourteenth International Conference on Learning Representations  (ICLR), 2026.
  2. Chunsan Hong, Seonho An, Min-Soo Kim, Jong Chul Ye,"Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies", in Proceedings of The Fourteenth International Conference on Learning Representations  (ICLR), 2026.
  3. Jeongjae Lee, Jong Chul Ye, "PCPO: Proportionate Credit Policy Optimization for Preference Alignment of Image Generation Models",  in Proceedings of The Fourteenth International Conference on Learning Representations  (ICLR), 2026.
  4. Jeongsol Kim, Yeobin Hong, Jonghyun Park, Jong Chul Ye, "FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing", in Proceedings of The Fourteenth International Conference on Learning Representations  (ICLR), 2026.
  5. Byungjun Kim, Soobin Um, Jong Chul Ye,"Diverse Text-to-Image Generation via Contrastive Noise Optimization", in Proceedings of The Fourteenth International Conference on Learning Representations  (ICLR), 2026.

Congratulations to BISPL Alumni on Their New Faculty Appointments

1/21/2026

 
A little belated, but congratulations! The following BISPL alumni have been appointed as tenure-track assistant professors.
​
- Prof. Kwanyoung Kim,  Assistant Professor @ GIST, starting from Spring 2026
- Prof. Soobin Um, Assistant Professor @ Kookmin University, starting from Fall 2025
- Prof. Kangjoo Lee, Assistant Professor @ Florida International University (FIU), USA, starting from Fall 2025

Congratulations —four papers accepted at NeurIPS 2025!

9/18/2025

 
The following papers got accepted to NeurIPS 2025. Congratulations to all authors!
  1. Bryan Sangwoo Kim, Jeongsol Kim, Jong Chul Ye, "Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment", Conference on Neural Information Processing Systems (NeurIPS), 2025.  (spotlight)
  2. Jaa-Yeon Lee, ByungHee Cha, Jeongsol Kim, Jong Chul Ye,"Aligning Text to Image in Diffusion Models is Easier Than You Think", Conference on Neural Information Processing Systems (NeurIPS), 2025.
  3. Jiachen Yao, Abbas Mammadov, Julius Berner, Gavin Kerrigan, Jong Chul Ye, Kamyar Azizzadenesheli, Anima Anandkumar, "Guided Diffusion Sampling on Function Spaces with Applications to PDEs", Conference on Neural Information Processing Systems (NeurIPS), 2025.
  4. Noam Elata, Hyungjin Chung, Jong Chul Ye, Tomer Michaeli, Michael Elad,"InvFussion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems", ​Conference on Neural Information Processing Systems (NeurIPS), 2025.
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    BISPL@KAIST AI

    BISPL is a group of people at KAIST who are eager to dedicate their time and effort to investigate the beauty of bio-imaging, signal processing and machine learning for various applications like healthcare, computer vision,  scientific discovery, etc.
ABOUT US
Our research activities are primarily focused on the signal processing and machine learning  for high-resolution high-sensitivity image reconstruction from real world bomedical imaging systems. Such problems pose interesting challenges that often lead to investigations of fundamental problems in various branches of physics, mathematics, signal processing, biology, and medicine. While most of the biomedical imaging researchers are interested in addressing this problem using off-the-self tools from signal processing, machine learning, statistics, and optimization and combining their domain-specific knowledge, our approaches are unique in the sense that I believe that actual  imaging applications are a source of endless inspiration for new mathematical theories and we are eager to solve both specific applications and application-inspired fundamental theoretical problems. 
Our location
Graduate School of AI
KAIST
108  Taebong-ro, Seocho-gu,  Seoul,  06764
Republic of Korea

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