Subin Kim
Incoming Applied Scientist
Adobe
rlatnqls1114 [AT] gmail.com
About
I am an incoming Applied Scientist at Adobe. Previously, I earned my Ph.D. from the Algorithmic Intelligence Laboratory (ALIN-LAB) at KAIST, where I was fortunate to be advised by Prof. Jinwoo Shin. I received my B.S. in Electrical Engineering from KAIST in 2022. I am interested in building controllable generative systems. To this end, during my Ph.D., I developed efficient representations for video and 3D signals tailored for generative models, as well as inference-time algorithms to enhance and expand foundational model capabilities.
Publications
Rethinking Prompt Design for Inference-time Scaling in Text-to-Visual Generation
Subin Kim, Sangwoo Mo, Mamshad Nayeem Rizve, Yiran Xu, Difan Liu, Jinwoo Shin, Tobias Hinz
CVPR, 2026
Tuning-Free Multi-Event Long Video Generation via Synchronized Coupled Sampling
Subin Kim, Seoung Wug Oh, Jui-Hsien Wang, Joon-Young Lee, Jinwoo Shin
ICCV Findings, 2025
FontAdapter: Instant Font Adaptation in Visual Text Generation
Myungkyu Koo, Subin Kim, Sangkyung Kwak, Jaehyun Nam, Seojin Kim, Jinwoo Shin
Preprint
MC2: Multi-view Consistent Depth Estimation via Coordinated Image-based Neural Rendering
Subin Kim*, Seong Hyeon Park*, Sihyun Yu, Kihyuk Sohn, Jinwoo Shin
CVPR Workshop on Neural Rendering Intelligence, 2024
Collaborative Score Distillation for Consistent Visual Editing
Subin Kim*, Kyungmin Lee*, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
NeurIPS, 2023
Learning Large-scale Neural Fields via Context Pruned Meta-Learning
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
NeurIPS, 2023
Video Probabilistic Diffusion Models in Projected Latent Space
Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin
CVPR, 2023
Winners, Qualcomm Innovation Fellowship Korea 2023
Scalable Neural Video Representations with Learnable Positional Features
Subin Kim*, Sihyun Yu*, Jaeho Lee, Jinwoo Shin
NeurIPS, 2022
Winners, Qualcomm Innovation Fellowship Korea 2023
Rethinking Prompt Design for Inference-time Scaling in Text-to-Visual Generation
Subin Kim, Sangwoo Mo, Mamshad Nayeem Rizve, Yiran Xu, Difan Liu, Jinwoo Shin, Tobias Hinz
CVPR, 2026
Tuning-Free Multi-Event Long Video Generation via Synchronized Coupled Sampling
Subin Kim, Seoung Wug Oh, Jui-Hsien Wang, Joon-Young Lee, Jinwoo Shin
ICCV Findings, 2025
FontAdapter: Instant Font Adaptation in Visual Text Generation
Myungkyu Koo, Subin Kim, Sangkyung Kwak, Jaehyun Nam, Seojin Kim, Jinwoo Shin
Preprint
MC2: Multi-view Consistent Depth Estimation via Coordinated Image-based Neural Rendering
Subin Kim*, Seong Hyeon Park*, Sihyun Yu, Kihyuk Sohn, Jinwoo Shin
CVPR Workshop on Neural Rendering Intelligence, 2024
Collaborative Score Distillation for Consistent Visual Editing
Subin Kim*, Kyungmin Lee*, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
NeurIPS, 2023
Learning Large-scale Neural Fields via Context Pruned Meta-Learning
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
NeurIPS, 2023
Video Probabilistic Diffusion Models in Projected Latent Space
Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin
CVPR, 2023
Scalable Neural Video Representations with Learnable Positional Features
Subin Kim*, Sihyun Yu*, Jaeho Lee, Jinwoo Shin
NeurIPS, 2022
Experience
Research Scientist Intern | Adobe Research (San Jose)Jun. 2025 - Sep. 2025
with mentors: Yiran Xu, Matt Fisher, Yifan Wang, Zhiqin ChenResearch Scientist Intern | Adobe FireFly (San Jose)Mar. 2025 - Jun. 2025
with mentors: Tobias Hinz, Mamshad Nayeem Rizve, Difan Liu, Yiran XuResearch Scientist Intern | Adobe Research (San Jose)June. 2024 - Oct. 2024
with mentors: Seoung Wug Oh, Jui-Hsien Wang, Joon-Young LeeAI Research Intern | Upstage AIAug. 2021 - Feb. 2022
Winter Internship | Samsung Electro-MechanicsJan. 2020 - Feb. 2020
Education
Korea Advanced Institute of Science and Technology (KAIST)Mar. 2022 - Present
Ph.D. Student in Artificial Intelligence
Korea Advanced Institute of Science and Technology (KAIST)Mar. 2017 - Feb. 2022
B.S. in Electrical Engineering
Academic Services
Conference Reviewer, ICML, NeurIPS, ICLR, SIGGRAPH, CVPR, ICCV
Journal Reviewer, IJCV, TMLR
Workshop Reviewer, SPIGM@ICML, INRV@CVPR
Honors & Awards
Winner, Qualcomm Innovation Fellowship Korea 2023
2nd Place, SAMSUNG AI Forum 2023
Recipient, Google Conference Scholarships (APAC) NeurIPS 2023
Demo, CVPR 2023, CVPR 2024
Art Gallery, CVPR 2023
Conference Scholar Award, NeurIPS 2022, CVPR 2023, NeurIPS 2023, CVPR 2024
1st place, Creative Space G A.I & IoT Hackathon