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Jisu Nam


I am a third-year Ph.D. student at KAIST, advised by Seungryong Kim. I am closely working with Yang Zhou at Adobe Research through a couple of internships and collaborating with Junhwa Hur at Google DeepMind.

My research focuses on general perception for images and videos, particularly correspondence in images and videos (image matching and point tracking). Recently, I have been working on large-scale image/video generative models, analyzing their learned representations in the context of correspondence—ultimately to understand, enhance, and manipulate the synthesis process.

I’d love to connect with people who share similar interests! Feel free to reach out via email!


Work Experience


Research Intern at Adobe Research, San Jose, CA (2025.05 - 2025.08, Expected)
Mentors: Yang Zhou

Research Intern at Adobe Research, San Jose, CA (2024.05 - 2024.08)
Mentors: Yang Zhou, Feng Liu, Jing Shi, Difan Liu, Zhan Xu
Project: Foundation Model for Consistent Full-Body Human Generation

Research Intern at Naver Cloud, Seoul, Korea (2023.04 - 2023.10)
Mentors: Seunggyu Chang, Heesu Kim, DongJae Lee
Project: Training-free Semantically Consistent Image Generation


Selected Publications



Visual Persona Teaser Image

Visual Persona: Foundation Model for Full-Body Human Customization

Jisu Nam, Soowon Son, Zhan Xu, Jing Shi, Difan Liu, Feng Liu, Aashish Misraa, Seungryong Kim, Yang Zhou

CVPR 2025



AM Adapter Teaser Image

AM-Adapter: Appearance Matching Adapter for Exemplar-based Semantic Image Synthesis in-the-Wild

Siyoon Jin, Jisu Nam, Jiyoung Kim, Dahyun Chung, Yeong-Seok Kim, Joonhyung Park, Heonjeong Chu, Seungryong Kim

arXiv preprint



Locotrack Teaser Image

Local All-Pair Correspondence for Point Tracking

Seokju Cho, Jiahui Huang, Jisu Nam, Honggyu An, Seungryong Kim, Joon-Young Lee

ECCV 2024



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)



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




Honors


37th Workshop on Image Processing and Image Understanding, 2025
Best Paper Award

37th Workshop on Image Processing and Image Understanding, 2025
Best Poster Presentation Award

Qualcomm Innovation Fellowship, 2024
Winner

33th Artificial Intelligence and Signal Processing, 2023
Best Paper Award

Template of Lior Yariv