Gyeongsu Cho

I am a Ph.D. student in Artificial Intelligence Graduate School at UNIST, where I am a 3D Vision & Robotics Lab member under Prof. Kyungdon Joo's supervision. I received a B.S. in Mechanical Engineering at Chung-Ang University.

I am actively seeking internship opportunities at academic or industrial research teams.
I’m always open to new collaborations — feel free to reach out to me at threedv@unist.ac.kr.

Email  /  CV  /  Linkedin  /  Github

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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.

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.
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.
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.

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)

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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