Home

Bio

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 was also a research scientist intern at SONY Research, hosted 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.

Full bio

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.

Latest News

  • 2026.04 A paper about 4D reconstruction has been accepted to SIGGRAPH 2026.
  • 2026.04 I will join Adobe Research this summer as a research scientist intern.
  • 2026.01 A paper about video customization has been accepted to ICASSP 2026.
More news

Selected Papers

Detailed publications

Talks

  • Aug. 2025 Recent Trends on Visual Generation: From Basics to Application, SNU Medical Vision Lab.
  • Apr. 2025 Improving Editability in Image Generation with Layer-wise Memory, SNU AI Institute Brown Bag Seminar.
Talks and service

Reviewer Service

CVPR 2026, ICLR 2026, ECCV 2026, NeurIPS 2026, TPAMI 2026.

Academic service

Posts

Research notes, technical writeups, and longer-form posts.

Read posts

Project

Demo services, course tools, and small deployed prototypes.

View projects

News

Experience

Research Internships

Adobe Research
Research Scientist Intern at Adobe Research (Jul. 2026 ~ Nov. 2026 Expected)
Hosted by: Duygu Ceylan, Tuanfeng Y. Wang
Details

Upcoming research internship at Adobe Research, focusing on visual computing and generative modeling for controllable visual content creation.

SONY
Research Scientist Intern at SONY AI Lab (Sep. 2025 ~ Present)
Hosted by: Takashi Shibuya, Masato Ishii
Details

Working on visual generative modeling and multimodal understanding, with an emphasis on controllable video generation and evaluation. The internship connects model behavior analysis with practical generation pipelines for user-facing visual media applications.

Microsoft
Research Scientist Intern at Visual Computing Group (Sep. 2024 ~ Mar. 2025)
Hosted by: Chong Luo, Qi Dai
Details

Investigated video generative models, subject-driven customization, and practical systems for open-domain customized video generation. This work led to an ICASSP 2026 paper and the arXiv 2504 preprint, Subject-driven Video Generation via Disentangled Identity and Motion.

Undergraduate Research Experience

GIST
Undergraduate Researcher (Jul. 2020 ~ Aug. 2023)
Advisors: Jonghyun Choi, Jeany Son
Now SNU MPR Lab and POSTECH CV LAB
Details

Built an early research foundation in computer vision, visual recognition, video understanding, and generative modeling. Published multiple domestic conference and journal papers through KSC, KIMST, and the Journal of KIISE, along with international conference papers including ICCV 2025 and ICCV 2023.

I was grateful to collaborate closely with:

Education

Seoul National University
Ph.D. student (Sep. 2025 ~ Present), Advisor: Jaesik Park
M.S. (Sep. 2023 ~ Aug. 2025), Best Thesis Award
Details

Master's thesis: Advancing Image Editing through Layer-wise Memory in Diffusion. The thesis studied controllable image editing in diffusion models through layer-wise memory mechanisms and was recognized with the Best Master's Thesis Award. Thesis link will be added later.

University of California, Berkeley
Exchange Program (Jun. 2021 ~ Dec. 2021)
Details

Took upper-division and theory-oriented coursework including EECS 126, convex optimization, CS 70, and discrete mathematics, along with related courses in probability, algorithms, and computer science foundations.

GIST
B.S. in Electrical Engineering and Computer Science (Aug. 2023), Magna Cum Laude
Details

Graduated 2nd in the Department of Electrical Engineering and Computer Science and received Magna Cum Laude honors. Coursework and undergraduate research focused on machine learning, computer vision, and systems foundations.

Honors and Awards

Aug. 2025 Best Master's Thesis Award
Seoul National University, GSAI Thesis: "Advancing Image Editing through Layer-wise 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

Publications

* indicates equal contribution. † indicates corresponding authors.

Disentangled S2V
StudioRecon: 4D Human-Scene Reconstruction from Low-Overlap Captures
Minhyuk Hwang*, Sangmin Kim*, Seunguk Do, Daneul Kim, and Jaesik Park
ACM SIGGRAPH 2026 [Paper Coming Soon]NEW!
Disentangled S2V
A Comprehensive Ecosystem for Open-Domain Customized Video Generation
Jingxu Zhang, Yuqian Hong, Daneul Kim, Kai Qiu, Qi Dai, Jianmin Bao, Yifan Yang, Xiaoyan Sun, Chong Luo
ICASSP 2026 [Paper Coming Soon]NEW!
Online GEBD
Online Generic Event Boundary Detection
Hyung Rok Jung*, Daneul Kim*, Seunggyun Lim, Jeany Son†, Jonghyun Choi†
ICCV 2025 [Paper | Code Coming Soon | Project]
Exploring MMDiT
Exploring Multimodal Diffusion Transformers for Enhanced Prompt-based Image Editing
Joonghyuk Shin, Alchan Hwang, Yujin Kim, Daneul Kim, Jaesik Park
ICCV 2025 [Paper | Code | Project]
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 [Paper | Code | Project]Version 2 Updated!
Improving Editability
Improving Editability in Image Generation with Layer-wise Memory
Daneul Kim, Jaeah Lee, Jaesik Park
CVPR 2025 [Paper | Code | Project]
Pick-or-Mix
Pick-or-Mix: Dynamic Channel Sampling for ConvNets
Ashish Kumar, Daneul Kim, Jaesik Park, Laxmidhar Behera
CVPR 2024 [Paper | Code]
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 [Paper | Code | Project]

Academic Service

Teaching Assistant

Spring 2026 Introduction to Machine Learning
Seoul National University
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, ECCV 2026, NeurIPS 2026, TPAMI 2026

Posts

Published notes and the writing studio now run through a standalone backend hosted on this Mac.

Published

Writing Archive

Browse the current post archive and published long-form notes from the dedicated blog backend.

Open archive

Admin

Blog Studio

Sign in, draft posts, publish entries, and manage the local writing backend without touching other services.

Open Blog Studio

Project

Demo services and course tools connected from this homepage.

Leaderboard

Introduction to Machine Learning Leaderboard

2026.03 ~ Present

Submission and ranking dashboard for the 2026S Introduction to Machine Learning assignment.

Open leaderboard

Chat Service

PocketChat

2026.04 ~ Present

Telegram-like web chat hosted on the Mac mini with account login, direct conversations, and a dedicated standalone deployment.

Open PocketChat

Memory App MVP

Pocket Log

2026.04 ~ Present

Private group daily video check-ins with same-moment multi-view slots, invite-only sharing, and an end-of-day recap built for close circles.

Open Pocket Log

Writing Service

Blog Studio

2026.04 ~ Present

Standalone blog backend for login, writing, and publishing posts from this Mac on a separate port and storage path.

Open Blog Studio