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Serin Yoon
Hello! I'm a Master’s student at GSCT KAIST, conducting research in Visual Media Lab, advised by Prof. Junyong Noh.
My research interests are in Computer Graphics, Facial Animation, and VFX, particularly focusing on 3D Facial Animation. I am passionate about deriving meaningful insights and results through the use of geometry data.
Email /
CV /
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Github
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Anymate: Animating Arbitrary 3D Faces from Video
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In submission
project page
An animating method that enables smooth and identity-preserving animation of arbitrary 3D faces from in-the-wild video.
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AnyTalk: Speech Animation for Arbitrary Characters Leveraging a Video Generation Model
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In submission
A data-free method that generalizes realistic, lip-synced 3D speech animations for arbitrary characters using video diffusion models.
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SALAD: Skeleton-aware Latent Diffusion for Text-driven Motion Generation and Editing
Seokhyeon Hong,
Chaelin Kim,
Serin Yoon,
Junghyun Nam,
Sihun Cha,
Junyong Noh
CVPR 2025
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project page /
code
A method that incorporates interactions between joints, frames, and words for text-driven motion generation and zero-shot editing.
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Neural Face Skinning for Mesh-agnostic Facial Expression Cloning
Sihun Cha,
Serin Yoon,
Kwanggyoon Seo,
Junyong Noh
Eurographics 2025, CGF
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project page /
code
A method that enables direct retargeting between two facial meshes with different shapes and mesh structures.
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Simulation Tool for Theatrical Scene Design Using Generative AI
Meongeun Kim*,
Eunbyul Park*,
Serin Yoon*,
Jaehong Ahn
(*equal contribution)
KCGS 2024 Poster Best Poster Award
paper
Simulation tool that leverages Generative AI to assist in staging musical scenes by simulating stage direction and design.
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Relative Depth-Based Oriental Black Ink Style Rendering
Minseong Kim,
Serin Yoon,
Sangmin Kim,
Sungkil Lee
KCGS 2022 Poster
paper
A rendering technique for generating ink-painting style edge images based on relative depth differences between object boundaries.
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Edge Computing based Cloud Parking Management System
Gilhan Park,
Heedong Kim,
Serin Yoon,
Jaehwan Lee,
Soyeon Jeong
KIPS 2021
paper /
video
Edge-computing cloud system that automates tasks like entry/exit tracking and unauthorized parking detection.
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Visual Media Lab
Student Researcher
Feb 2024 - Ongoing
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Generating Hyper-Realistic to Extremely-stylized Face Avatar with Varied Speech Speed and Context-based Emotional Expression
Sep 2024 - Ongoing
Development of customizable AI avatars that generate responsive, conversational facial animations, enabling lifelike interaction and feedback through intuitive user inputs.
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Last Update: Oct 2025
Code from Jon Barron is used for this website
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