Jisu Nam

I am an integrated M.S./Ph.D student in the Department of Computer Science and Engineering at Korea University under the supervision of Prof. Seungryong Kim. My research is in computer vision and deep learning, I am particularly interested in diffusion-based generative models and visual correspondence. For more information, please refer to my CV.

Work Experience

Research Intern in Adobe, San Jose, CA (2024.05 - 2024.08, Expected)
Research Intern in Naver Cloud, Seoul, Korea (2023.04 - 2023.10)

Publications

DreamMatcher Teaser Image

DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization

Jisu Nam, Heesu Kim, DongJae Lee, Siyoon Jin, Seungryong Kim^†, Seunggyu Chang^†

CVPR 2024

DiffMatch Teaser Image

Diffusion Model for Dense Matching

Jisu Nam, Gyuseong Lee, Sunwoo Kim, Hyeonsu Kim, Hyoungwon Cho, Seyeon Kim, Seungryong Kim

ICLR 2024, Oral, 1.2% acceptance rate

DiffFace Teaser Image

DiffFace: Diffusion-based Face Swapping with Facial Guidance

Kihong Kim, Yunho Kim, Seokju Cho, Junyoung Seo, Jisu Nam, Kychul Lee, Seungryong Kim and KwangHee Lee

arXiv 2022

nemf Teaser Image

Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence

Sunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong, Sangryul Jeon, Dongbo Min, and Seungryong Kim

NeurIPS 2022

vat Teaser Image

Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation

Sunghwan Hong, Seokju Cho, Jisu Nam, Stephen Lin, Seungryong Kim

ECCV 2022

Template of Lior Yariv