Research
I am passionate about creating models that don’t yet exist — models capable of reconstructing, animating, and generating dynamic 3D and 4D content, especially for humans and animals. My ultimate goal is to push the boundaries of dynamic 3D/4D reconstruction and generation. I'm driven by a passion for meaningful and enjoyable research, building tools and models that unlock new creative and scientific possibilities.
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Fast and Controllable 3D Human Generation from a Single Image
In submission
We present a fast, pose-controllable 3D avatar generation framework from a single image. By combining facial identity and visual embeddings with pose-guided multi-view synthesis, our method creates high-fidelity, animation-ready human avatars in under 15 seconds.
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DogRecon: Canine Prior-Guided Animatable 3D Gaussian Dog Reconstruction From A Single Image
Gyeongsu Cho, Changwoo Kang, Donghyeon Soon, Kyungdon Joo
IJCV 2025, CV4Animals Oral (CVPRW 2024)
We propose DogRecon, a novel framework that reconstructs animatable 3D Gaussian dog models from a single image. Our method leverages a canine prior and a reliable sampling strategy to produce high-quality 3D reconstructions and animations of dogs.
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SlaBins: Fisheye Depth Estimation using Slanted Bins on the Road Environments
Jongsung Lee, Gyeognsu Cho*, Jeongin Park*, Kyongjun Kim*, Seongoh Lee*, Jung Hee Kim, Seong-Gyun Jeong, Kyungdon Joo
ICCV 2023
SlaBins utilizes a slanted multi-cylindrical image representation and adaptive bins to generate accurate and dense depth maps.
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Education
- M.S. & Ph.D in Artifical Intelligence Graduate School, UNIST, South Korea (2022.03~ current)
- Bachelor in Mechanical Engineering, Chung-Ang Univ, South Korea (2018.03 ~ 2021.08)
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Projects
- Video Anomaly Detection, funded by SAMSUNG ELECTRONICS (2024.06 ~2025.06)
- Recommendation System (virtual tactile spring constant), funded by UNIST (2023.06 ~2023.12)
- Monocular Depth Estimation, funded by 42dot (2022.03 ~ 2022.12 )
- Human Pose Estimation, funded by NIA (2021.08 ~ 2021.12)
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