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Hongsuk Choi

Email: [email protected]

I am starting my second year of my PhD in Fall 2025 in the EECS department at UC Berkeley as part of the BAIR program! I am advised by Prof. Angjoo Kanazawa and Prof. Jitendra Malik. My research interests lie in generative priors, 3D computer vision, and robotics. Previously, I was advised by Prof. Kyoung Mu Lee and worked closely with Prof. Gyeongsik Moon in 3D computer vision. I also worked with Prof. Hyunsoo Park at Samsung Research, New York. Currently, I am working at AMAZON FAR (Frontier AI and Robotics Research Lab) as an intern. Please refer to my CV_2025 for more information.

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A photo of Hongsuk Choi

Updates

Last updated: October 7, 2025 - Homepage refreshed with latest publications and affiliations.

Publications

Viser: Imperative, Web-based 3D Visualization in Python

Brent Yi, Chung Min Kim, Justin Kerr, Gina Wu, Rebecca Feng, Anthony Zhang, Jonas Kulhanek, Hongsuk Choi, Yi Ma, Matthew Tancik, Angjoo Kanazawa. arXiv 2025.
Homepage / Paper

Flow Matching Policy Gradients

David McAllister*, Songwei Ge*, Brent Yi*, Chung Min Kim, Ethan Weber, Hongsuk Choi, Haiwen Feng, Angjoo Kanazawa (* equal contribution). arXiv 2025.
Homepage / Paper / Code
Visual imitation enables contextual humanoid control

Visual imitation enables contextual humanoid control

Arthur Allshire*, Hongsuk Choi*, Junyi Zhang*, David McAllister*, Anthony Zhang, Chung Min Kim, Trevor Darrell, Pieter Abbeel, Jitendra Malik, Angjoo Kanazawa (* equal contribution). CoRL 2025 (Oral, Best Student Paper Award).
Homepage / Paper / arXiv / Code

PyRoki: A Modular Toolkit for Robot Kinematic Optimization

Chung Min Kim*, Brent Yi*, Hongsuk Choi, Yi Ma, Ken Goldberg, Angjoo Kanazawa (* equal contribution). IROS 2025.
Homepage / Paper / Code
HSfM: Reconstrucing People, Places, and Cameras

Reconstrucing People, Places, and Cameras

Lea Müller*, Hongsuk Choi*, Anthony Zhang, Brent Yi, Jitendra Malik, Angjoo Kanazawa (* equal contribution). CVPR 2025 (Highlight).
Homepage / Paper / Code
FineControlNet

Fine-level Text Control for Image Generation with Spatially Aligned Text Control Injection

Hongsuk Choi*, Isaac Kasahara*, Selim Engin, Moritz Alexander Graule, Nikhil Chavan-Dafle, Volkan Isler (* equal contribution). WACV 2025.
Homepage / Paper / Code
HandNeRF

Learning to Reconstruct Hand-Object Interaction Scene from a Single RGB Image

Hongsuk Choi, Nikhil Chavan-Dafle, Jiacheng Yuan, Volkan Isler, Hyunsoo Park. ICRA 2024.
Homepage / Paper / Video / Code
Rethinking Self-Supervised Visual Representation Learning

Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation

Hongsuk Choi*, Hyeongjin Nam*, Taeryung Lee, Gyeongsik Moon, Kyoung Mu Lee (* equal contribution). ICLR 2023.
Paper / Video
Three Recipes for Better 3D Pseudo-GTs

Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild

Gyeongsik Moon, Hongsuk Choi, Sanghyuk Chun, Jiyoung Lee, Sangdoo Yun. CVPRW 2023.
Paper / PDF / Homepage
MonoNHR

MonoNHR: Monocular Neural Human Renderer

Hongsuk Choi*, Gyeongsik Moon*, Matthieu Armando, Vincent Leroy, Kyoung Mu Lee, Gregory Rogez (* equal contribution). 3DV 2022.
Paper / Video
HandOccNet

HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network

JoonKyu Park*, Yeonguk Oh*, Gyeongsik Moon*, Hongsuk Choi, Kyoung Mu Lee (* equal contribution). CVPR 2022.
Paper / Code
3DCrowdNet

Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes

Hongsuk Choi, Gyeongsik Moon, JoonKyu Park, Kyoung Mu Lee. CVPR 2022.
Paper / Code
Hand4Whole

Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation

Gyeongsik Moon, Hongsuk Choi, Kyoung Mu Lee. CVPRW 2022.
Paper / Video / Code
NeuralAnnot

NeuralAnnot: Neural Annotator for 3D Human Mesh Training Sets

Gyeongsik Moon, Hongsuk Choi, Kyoung Mu Lee. CVPRW 2022.
Paper / Homepage
TCMR

Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video

Hongsuk Choi, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee. CVPR 2021.
Paper / PDF / Code / Video
Pose2Mesh

Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose

Hongsuk Choi*, Gyeongsik Moon*, Kyoung Mu Lee (* equal contribution). ECCV 2020.
Paper / PDF / Code / Video

Honors

Best Student Paper Award at CoRL 2025 for "Visual imitation enables contextual humanoid control" (2025)

SNU Distinguished Master Dissertation Award

Seoul National University Distinguished Master Dissertation Award (2022)

3DPW Challenge 1st Place 3DPW Challenge 2nd Place

1st place and 2nd place at the 3D human pose estimation in the wild (3DPW) challenge of a without association track in joint orientation and position metrics, respectively
(workshop in conjunction with ECCV 2020)

Qualcomm IT Tour

Qualcomm IT Tour 2019 presentation competition 1st place (2019)

Service

Experience

BAIR Logo

Ph.D. student, Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, CA, USA
2024 - present

Samsung Research America

ML Research Engineer, Samsung Research America (SRA), New York, NY, USA
2022 - 2024

Naver CLOVA AI

Visiting Researcher, Naver AI Lab, Seoul, Korea
2022

Naver Labs Europe

Research Intern, Naver Labs Europe (NLE), Grenoble, France
2021

Seoul National University

M.S., Electrical and Computer Engineering, Seoul National University (SNU), Seoul, Korea
2020 - 2022

Republic of Korea Airforce

Repulic of Korea Airforce (ROKA), Gyeryong, Korea
2015 - 2017

Seoul National University

B.S., Business | Computer Science & Engineering, Seoul National University (SNU), Seoul, Korea
2013 - 2020