Daneul Kim

Daneul Kim

Ph.D. Student
Department of Computer Science and Engineering
Seoul National University
carpedkm [at] snu [dot] ac [dot] kr

Current Affiliations
SNU Visual & Geometric Intelligence Lab
SONY Research, SONY AI

I am a first year Ph.D student in the Department of Computer Science and Engineering at Seoul National University, advised by Jaesik Park. I am also a research scientist intern at SONY Research, advised by Takashi Shibuya and Masato Ishii. My research interests lie at the intersection of computer vision and machine learning, with a focus on generative models and multimodal understanding.

I received my M.S. degree from Seoul National University, advised by Jaesik Park, and was honored with the Best Thesis Award. During my master's, I worked as a research scientist intern at Microsoft Research Asia with Chong Luo and Qi Dai.

I earned my B.S. in Electrical Engineering and Computer Science from Gwangju Institute of Science and Technology (GIST). During my bachelor's, I was fortunate to be advised by Jonghyun Choi at Seoul National University and Jeany Son at POSTECH. I was also a recipient of the Presidential Science Scholarship.

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News

Publications

* indicates equal contribution. † indicates corresponding authors.

Online GEBD
Online Generic Event Boundary Detection
Hyung Rok Jung*, Daneul Kim*, Seunggyun Lim, Jeany Son†, Jonghyun Choi†
ICCV 2025
Exploring MMDiT
Exploring Multimodal Diffusion Transformers for Enhanced Prompt-based Image Editing
Joonghyuk Shin, Alchan Hwang, Yujin Kim, Daneul Kim, Jaesik Park
ICCV 2025
Disentangled S2V
Subject-driven Video Generation via Disentangled Identity and Motion
Daneul Kim, Jingxu Zhang, Wonjoon Jin, Sunghyun Cho, Qi Dai, Jaesik Park, Chong Luo
arXiv preprint 2504.17816
Improving Editability
Improving Editability in Image Generation with Layer-wise Memory
Daneul Kim, Jaeah Lee, Jaesik Park
CVPR 2025
Pick-or-Mix
Pick-or-Mix: Dynamic Channel Sampling for ConvNets
Ashish Kumar, Daneul Kim, Jaesik Park, Laxmidhar Behera
CVPR 2024
CMOTA
Story Visualization by Online Text Augmentation with Context Memory
Daechul Ahn, Daneul Kim, Gwangmo Song, Seung Hwan Kim, Honglak Lee, Dongyeop Kang, Jonghyun Choi
ICCV 2023

Research Experience

SONY
Research Scientist Intern at SONY AI Lab, MFMT/Cinematic Technology Division (Sep. 2025 ~ Present)
Advisor: Takashi Shibuya and Masato Ishii
Microsoft
Research Scientist Intern at Visual Computing Group (Sep. 2024 ~ Mar. 2025)
Advisor: Chong Luo and Qi Dai
Seoul National University
Ph.D. student at SNU (starting Sep. 2025) – Present
Advisor: Prof. Jaesik Park
────
M.S. at SNU with Jaesik Park (Sep. 2023 – Aug. 2025)
Graduated M.S. with Best Thesis Award.

Honors and Awards

Aug. 2025 Best Master's Thesis Award
Seoul National University, GSAI Thesis: "Advancing Image Editing through Layer Memory in Diffusion"
Feb. 2025 Award for Outstanding Poster Presentation
IPIU 2025 (37th Workshop on Image Processing and Image Understanding) "층위별 메모리를 활용한 이미지 편집 개선 기법"
Aug. 2023 Magna Cum Laude
Gwangju Institute of Science and Technology (GIST)
Mar. 2021 - Aug. 2023 Presidential Science Scholarship
Full tuition and stipend of $5,000 per year ~150 students selected nationally
Jun. 2021 - Dec. 2021 Scholarship for Study Abroad Program
Full support of expenses + $24,000 stipend for UC Berkeley Exchange Program

Academic Service

Teaching Assistant

Summer 2025 Creating Images Using Generative AI
Samsung Data Scientist Academy, Samsung Electronics
Summer 2025 Generative AI Capstone Project
HD Hyundai
Fall 2023 Generative Artificial Intelligence
Seoul National University
Spring 2021 Object Oriented Programming
GIST

Invited Talks

Aug. 2025 Recent Trends on Visual Generation: From Basics to Application
SNU Medical Vision Lab, Seoul National University Hospital (SNUH)
Apr. 2025 Improving Editability in Image Generation with Layer-wise Memory
SNU AI Institute Brown Bag Seminar

Reviewer Services

CVPR 2026, ICLR 2026