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ORCIDJungdam Won
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2020 – today
- 2024
[c17]Jiashun Wang
, Jessica K. Hodgins, Jungdam Won:
Strategy and Skill Learning for Physics-based Table Tennis Animation. SIGGRAPH (Conference Paper Track) 2024: 122- [i14]Jiashun Wang, Jessica K. Hodgins, Jungdam Won:
Strategy and Skill Learning for Physics-based Table Tennis Animation. CoRR abs/2407.16210 (2024) - 2023
- [j14]Daniele Reda, Jungdam Won, Yuting Ye, Michiel van de Panne, Alexander W. Winkler:
Physics-based Motion Retargeting from Sparse Inputs. Proc. ACM Comput. Graph. Interact. Tech. 6(3): 33:1-33:19 (2023) - [j13]Tianyu Li, Jungdam Won, Jeongwoo Cho, Sehoon Ha, Akshara Rai:
FastMimic: Model-Based Motion Imitation for Agile, Diverse and Generalizable Quadrupedal Locomotion. Robotics 12(3): 90 (2023) - [j12]Jonas Gehring, Deepak Gopinath, Jungdam Won, Andreas Krause, Gabriel Synnaeve, Nicolas Usunier:
Leveraging Demonstrations with Latent Space Priors. Trans. Mach. Learn. Res. 2023 (2023) - [c16]Yijun Qian, Jack Urbanek, Alexander G. Hauptmann, Jungdam Won:
Breaking The Limits of Text-conditioned 3D Motion Synthesis with Elaborative Descriptions. ICCV 2023: 2306-2316 - [c15]Mingyi Shi, Sebastian Starke, Yuting Ye, Taku Komura, Jungdam Won:
PhaseMP: Robust 3D Pose Estimation via Phase-conditioned Human Motion Prior. ICCV 2023: 14679-14691 - [c14]Jungnam Park, Moon Seok Park, Jehee Lee, Jungdam Won:
Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait and Anatomical Conditions. SIGGRAPH (Conference Paper Track) 2023: 6:1-6:9 - [c13]Sunmin Lee, Sebastian Starke, Yuting Ye, Jungdam Won, Alexander W. Winkler:
QuestEnvSim: Environment-Aware Simulated Motion Tracking from Sparse Sensors. SIGGRAPH (Conference Paper Track) 2023: 62:1-62:9 - [c12]Jinseok Bae, Jungdam Won, Donggeun Lim, Cheol-Hui Min, Young Min Kim:
PMP: Learning to Physically Interact with Environments using Part-wise Motion Priors. SIGGRAPH (Conference Paper Track) 2023: 64:1-64:10 - [c11]Yunbo Zhang, Deepak Gopinath, Yuting Ye, Jessica K. Hodgins, Greg Turk, Jungdam Won:
Simulation and Retargeting of Complex Multi-Character Interactions. SIGGRAPH (Conference Paper Track) 2023: 65:1-65:11 - [c10]Deok-Kyeong Jang, Yuting Ye, Jungdam Won, Sung-Hee Lee:
MOCHA: Real-Time Motion Characterization via Context Matching. SIGGRAPH Asia 2023: 7:1-7:11 - [c9]Yifeng Jiang, Jungdam Won, Yuting Ye, C. Karen Liu:
DROP: Dynamics Responses from Human Motion Prior and Projective Dynamics. SIGGRAPH Asia 2023: 18:1-18:11 - [c8]Sunmin Lee, Taeho Kang, Jungnam Park, Jehee Lee, Jungdam Won:
SAME: Skeleton-Agnostic Motion Embedding for Character Animation. SIGGRAPH Asia 2023: 45:1-45:11 - [c7]Tianyu Li, Jungdam Won, Alexander Clegg, Jeonghwan Kim, Akshara Rai, Sehoon Ha:
ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters. SIGGRAPH Asia 2023: 46:1-46:11 - [i13]Jinseok Bae, Jungdam Won, Donggeun Lim, Cheol-Hui Min, Young Min Kim:
PMP: Learning to Physically Interact with Environments using Part-wise Motion Priors. CoRR abs/2305.03249 (2023) - [i12]Tianyu Li, Jungdam Won, Alexander Clegg, Jeonghwan Kim, Akshara Rai, Sehoon Ha:
ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters. CoRR abs/2305.14792 (2023) - [i11]Yunbo Zhang, Deepak Gopinath, Yuting Ye, Jessica K. Hodgins, Greg Turk, Jungdam Won:
Simulation and Retargeting of Complex Multi-Character Interactions. CoRR abs/2305.20041 (2023) - [i10]Jungnam Park, Moon Seok Park, Jehee Lee, Jungdam Won:
Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait and Anatomical Conditions. CoRR abs/2306.04161 (2023) - [i9]Sunmin Lee, Sebastian Starke, Yuting Ye, Jungdam Won, Alexander W. Winkler:
QuestEnvSim: Environment-Aware Simulated Motion Tracking from Sparse Sensors. CoRR abs/2306.05666 (2023) - [i8]Daniele Reda, Jungdam Won, Yuting Ye, Michiel van de Panne, Alexander W. Winkler:
Physics-based Motion Retargeting from Sparse Inputs. CoRR abs/2307.01938 (2023) - [i7]Yifeng Jiang, Jungdam Won, Yuting Ye, C. Karen Liu:
DROP: Dynamics Responses from Human Motion Prior and Projective Dynamics. CoRR abs/2309.13742 (2023) - [i6]Deok-Kyeong Jang, Yuting Ye, Jungdam Won, Sung-Hee Lee:
MOCHA: Real-Time Motion Characterization via Context Matching. CoRR abs/2310.10079 (2023) - 2022
- [j11]Jihoon Kim, Taehyun Byun, Seungyoun Shin, Jungdam Won, Sungjoon Choi:
Conditional motion in-betweening. Pattern Recognit. 132: 108894 (2022) - [j10]Jungdam Won, Deepak Gopinath, Jessica K. Hodgins:
Physics-based character controllers using conditional VAEs. ACM Trans. Graph. 41(4): 96:1-96:12 (2022) - [c6]Alexander W. Winkler, Jungdam Won, Yuting Ye:
QuestSim: Human Motion Tracking from Sparse Sensors with Simulated Avatars. SIGGRAPH Asia 2022: 2:1-2:8 - [c5]Yifeng Jiang, Yuting Ye, Deepak Gopinath, Jungdam Won, Alexander W. Winkler, C. Karen Liu:
Transformer Inertial Poser: Real-time Human Motion Reconstruction from Sparse IMUs with Simultaneous Terrain Generation. SIGGRAPH Asia 2022: 3:1-3:9 - [c4]Deepak Gopinath, Hanbyul Joo, Jungdam Won:
Motion In-betweening for Physically Simulated Characters. SIGGRAPH Asia Posters 2022: 7:1-7:2 - [i5]Jihoon Kim, Taehyun Byun, Seungyoun Shin, Jungdam Won, Sungjoon Choi:
Conditional Motion In-betweening. CoRR abs/2202.04307 (2022) - [i4]Yifeng Jiang, Yuting Ye, Deepak Gopinath, Jungdam Won, Alexander W. Winkler, C. Karen Liu:
Transformer Inertial Poser: Attention-based Real-time Human Motion Reconstruction from Sparse IMUs. CoRR abs/2203.15720 (2022) - [i3]Alexander W. Winkler, Jungdam Won, Yuting Ye:
QuestSim: Human Motion Tracking from Sparse Sensors with Simulated Avatars. CoRR abs/2209.09391 (2022) - [i2]Jonas Gehring, Deepak Gopinath, Jungdam Won, Andreas Krause, Gabriel Synnaeve, Nicolas Usunier:
Leveraging Demonstrations with Latent Space Priors. CoRR abs/2210.14685 (2022) - 2021
- [j9]Jungdam Won, Deepak Gopinath, Jessica K. Hodgins:
Control strategies for physically simulated characters performing two-player competitive sports. ACM Trans. Graph. 40(4): 146:1-146:11 (2021) - [i1]Tianyu Li, Jungdam Won, Sehoon Ha, Akshara Rai:
Model-based Motion Imitation for Agile, Diverse and Generalizable Quadupedal Locomotion. CoRR abs/2109.13362 (2021) - 2020
- [j8]Jungdam Won, Deepak Gopinath, Jessica K. Hodgins:
A scalable approach to control diverse behaviors for physically simulated characters. ACM Trans. Graph. 39(4): 33 (2020)
2010 – 2019
- 2019
- [j7]Jungdam Won, Jehee Lee:
Learning body shape variation in physics-based characters. ACM Trans. Graph. 38(6): 207:1-207:12 (2019) - [j6]Sehee Min, Jungdam Won, Seunghwan Lee, Jungnam Park, Jehee Lee:
SoftCon: simulation and control of soft-bodied animals with biomimetic actuators. ACM Trans. Graph. 38(6): 208:1-208:12 (2019) - 2018
- [j5]Jungdam Won, Jungnam Park, Jehee Lee:
Aerobatics control of flying creatures via self-regulated learning. ACM Trans. Graph. 37(6): 181 (2018) - [c3]Jaedong Lee, Jungdam Won, Jehee Lee:
Crowd simulation by deep reinforcement learning. MIG 2018: 2:1-2:7 - 2017
- [j4]Jungdam Won, Jongho Park, Kwanyu Kim, Jehee Lee:
How to train your dragon: example-guided control of flapping flight. ACM Trans. Graph. 36(6): 198:1-198:13 (2017) - [c2]Sehee Min, Jaedong Lee, Jungdam Won, Jehee Lee:
Soft shadow art. CAe@Expressive 2017: 3:1-3:9 - 2016
- [j3]Jungdam Won, Jehee Lee:
Shadow theatre: discovering human motion from a sequence of silhouettes. ACM Trans. Graph. 35(4): 147:1-147:12 (2016) - 2015
- [c1]Jungdam Won, Jehee Lee:
Discovering human postures from non-human silhouette. Symposium on Computer Animation 2015: 195 - 2014
- [j2]Jungdam Won, Kyungho Lee, Carol O'Sullivan, Jessica K. Hodgins, Jehee Lee:
Generating and ranking diverse multi-character interactions. ACM Trans. Graph. 33(6): 219:1-219:12 (2014) - 2013
- [j1]Eunjung Ju, Jungdam Won, Jehee Lee, Byungkuk Choi, Junyong Noh, Min Gyu Choi:
Data-driven control of flapping flight. ACM Trans. Graph. 32(5): 151:1-151:12 (2013)
Coauthor Index
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