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We present a method for reproducing complex multi-character interactions for physically simulated humanoid characters using deep reinforcement learning.
Motion Patches: Building Blocks for Virtual Environments Annotated with Motion Data
Kang Hoon Lee, Myung Geol Choi, and Jehee Lee. 2006 · 2006
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Composition of Complex Optimal Multi-Character Motions. In Proceedings of the 2006 ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA ’06) . 215–222
C. Karen Liu, Aaron Hertzmann, and Zoran Popović. 2006 · 2006
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Simulating Competitive Interactions Using Singly Captured Motions. In Proceedings of the 2007 ACM Symposium on Virtual Reality Software and Technology (VRST ’07) . 65–72
Hubert P. H. Shum, Taku Komura, and Shuntaro Yamazaki. 2007 · 2007
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Two-Character Motion Analysis and Synthesis
T. Kwon, Y. Cho, S. I. Park, and S. Y. Shin. 2008 · 2008
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Interaction Patches for Multi-Character Animation
Hubert P. H. Shum, Taku Komura, Masashi Shiraishi, and Shuntaro Yamazaki. 2008b · 2008
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Simulating Interactions of Avatars in High Dimensional State Space. In Proceedings of the 2008 Symposium on Interactive 3D Graphics and Games (I3D ’08) . 131–138
Hubert P. H. Shum, Taku Komura, and Shuntaro Yamazaki. 2008a · 2008
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Synchronized Multi-Character Motion Editing
Manmyung Kim, Kyunglyul Hyun, Jongmin Kim, and Jehee Lee. 2009 · 2009
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Crowd Patches: Populating Large-Scale Virtual Environments for Real-Time Applications. In Proceedings of the 2009 Symposium on Interactive 3D Graphics and Games (I3D ’09) . 207–214
Barbara Yersin, Jonathan Maïm, Julien Pettré, and Daniel Thalmann. 2009 · 2009
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Spatial Relationship Preserving Character Motion Adaptation
Edmond S. L. Ho, Taku Komura, and Chiew-Lan Tai. 2010 · 2010
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Simulating Multiple Character Interactions with Collaborative and Adversarial Goals
H. P. H. Shum, T. Komura, and S. Yamazaki. 2012 · 2010
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Character Animation in Two-Player Adversarial Games
Kevin Wampler, Erik Andersen, Evan Herbst, Yongjoon Lee, and Zoran Popović. 2010 · 2010
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Stable Proportional-Derivative Controllers
Jie Tan, Karen Liu, and Greg Turk. 2011 · 2011
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Discovery of Complex Behaviors through Contact-Invariant Optimization
Igor Mordatch, Emanuel Todorov, and Zoran Popović. 2012 · 2012
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Hip-hop Greetings
sinestesia3000. 2012 · 2012
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Relationship Descriptors for Interactive Motion Adaptation. In Proceedings of the 12th ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA ’13) . 45–53
Rami Ali Al-Asqhar, Taku Komura, and Myung Geol Choi. 2013 · 2013
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Tiling Motion Patches
K. Hyun, M. Kim, Y. Hwang, and J. Lee. 2013 · 2013
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A multi-resolution approach for adapting close character interaction. In Proceedings of the 20th ACM Symposium on Virtual Reality software and technology . 97–106
Edmond SL Ho, He Wang, and Taku Komura. 2014 · 2014
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Interactive Manipulation of Large-Scale Crowd Animation
Jongmin Kim, Yeongho Seol, Taesoo Kwon, and Jehee Lee. 2014 · 2014
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Generating and Ranking Diverse Multi-Character Interactions
Jungdam Won, Kyungho Lee, Carol O’Sullivan, Jessica K. Hodgins, and Jehee Lee. 2014 · 2014
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Deep Integration of Physical Humanoid Control and Crowd Navigation. In Motion, Interaction and Games, MIG 2020 . Article 15
Brandon Haworth, Glen Berseth, Seonghyeon Moon, Petros Faloutsos, and Mubbasir Kapadia. 2020 · 2020
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Catch & Carry: Reusable Neural Controllers for Vision-Guided Whole-Body Tasks
Josh Merel, Saran Tunyasuvunakool, Arun Ahuja, Yuval Tassa, Leonard Hasenclever, Vu Pham, Tom Erez, Greg Wayne, and Nicolas Heess. 2020 · 2020
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A Scalable Approach to Control Diverse Behaviors for Physically Simulated Characters
Jungdam Won, Deepak Gopinath, and Jessica Hodgins. 2020 · 2020
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SuperTrack: Motion Tracking for Physically Simulated Characters using Supervised Learning
Levi Fussell, Kevin Bergamin, and Daniel Holden. 2021 · 2021
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Interactive multi-character motion retargeting
Jongmin Kim, Yeongho Seol, and Taesoo Kwon. 2021 · 2021
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Multi-Character Physical and Behavioral Interactions Controller
Joris Vaillant, Karim Bouyarmane, and Abderrahmane Kheddar. 2017 · 2016
Cited alongside, same era.
Adaptive whole-body manipulation in human-to-humanoid multi-contact motion retargeting. In 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids) . 446–453
Kazuya Otani and Karim Bouyarmane. 2017 · 2017
Cited alongside, same era.
Physics-based motion capture imitation with deep reinforcement learning. In Motion, Interaction and Games, MIG 2018 . ACM, 1:1–1:10
Nuttapong Chentanez, Matthias Müller, Miles Macklin, Viktor Makoviychuk, and Stefan Jeschke. 2018 · 2018
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Aura Mesh: Motion Retargeting to Preserve the Spatial Relationships between Skinned Characters
Taeil Jin, Meekyoung Kim, and Sung-Hee Lee. 2018 · 2018
Cited alongside, same era.
DeepMimic: Example-guided Deep Reinforcement Learning of Physics-based Character Skills
Xue Bin Peng, Pieter Abbeel, Sergey Levine, and Michiel van de Panne. 2018 · 2018
Cited alongside, same era.
DReCon: Data-driven Responsive Control of Physics-based Characters
Kevin Bergamin, Simon Clavet, Daniel Holden, and James Richard Forbes. 2019 · 2019
Cited alongside, same era.
Neural Probabilistic Motor Primitives for Humanoid Control. In 7th International Conference on Learning Representations, ICLR 2019
Josh Merel, Leonard Hasenclever, Alexandre Galashov, Arun Ahuja, Vu Pham, Greg Wayne, Yee Whye Teh, and Nicolas Heess. 2019 · 2019
Cited alongside, same era.
AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control
Xue Bin Peng, Ze Ma, Pieter Abbeel, Sergey Levine, and Angjoo Kanazawa. 2021 · 2021
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Control Strategies for Physically Simulated Characters Performing Two-Player Competitive Sports
Jungdam Won, Deepak Gopinath, and Jessica Hodgins. 2021 · 2021
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ManipNet: Neural Manipulation Synthesis with a Hand-Object Spatial Representation
He Zhang, Yuting Ye, Takaaki Shiratori, and Taku Komura. 2021 · 2021
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From motor control to team play in simulated humanoid football
Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan Tracey, Karl Tuyls, Thore Graepel, and Nicolas Heess. 2022 · 2022
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ASE: Large-scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters
Xue Bin Peng, Yunrong Guo, Lina Halper, Sergey Levine, and Sanja Fidler. 2022 · 2022
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QuestSim: Human Motion Tracking from Sparse Sensors with Simulated Avatars. In ACM SIGGRAPH Asia 2022 Conference Papers . 1–8
Alexander Winkler, Jungdam Won, and Yuting Ye. 2022 · 2022
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Physics-Based Character Controllers Using Conditional VAEs
Jungdam Won, Deepak Gopinath, and Jessica Hodgins. 2022 · 2022
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ControlVAE: Model-Based Learning of Generative Controllers for Physics-Based Characters
Heyuan Yao, Zhenhua Song, Baoquan Chen, and Libin Liu. 2022 · 2022
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Neural3Points: Learning to Generate Physically Realistic Full-body Motion for Virtual Reality Users
Yongjing Ye, Libin Liu, Lei Hu, and Shihong Xia. 2022 · 2022
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