About me

I am a MS student at KAIST (MLAI Lab), working under the supervision of Sung Ju Hwang.

My research focuses on computer vision and deep learning, particularly generative tasks using multimodal foundation models like text-to-image models. Currently, I’m interested in the personalization of generative models and controllable video generation.

Here is my CV.

Email: sangwon.jang [at] kaist [dot] ac [dot] kr

Publications (*: equal contribution / ^: equal advising)

• Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models

  [website] [paper] [code]
  ​Sangwon Jang, June Suk Choi, Jaehyeong Jo, Kimin Lee^, Sung Ju Hwang^
  Conference on Computer Vision and Pattern Recognition (CVPR), 2025

• Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models

  [website] [paper] [code]
  ​Sangwon Jang*, Jaehyeong Jo*, Kimin Lee^, Sung Ju Hwang^
  Conference on Neural Information Processing Systems (NeurIPS), 2024

• Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models

  [paper]
  ​Jaewoong Lee*, Sangwon Jang*, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang
  International Conference on Computer Vision (ICCV), 2023

Preprints

• Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models

  [website] [paper] [code]
  ​Sangwon Jang*, Taekyung Ki*, Jaehyeong Jo, Jaehong Yoon, Soo Ye Kim, Zhe Lin, Sung Ju Hwang
  Preprint, 2025

• Enhancing Variational Autoencoders with Smooth Robust Latent Encoding

  [paper]
  ​Hyomin Lee*, Minseon Kim*, Sangwon Jang, Jongheon Jeong, Sung Ju Hwang
  Preprint, 2025