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We address the challenge of content diversity and controllability in pedestrian simulation for driving scenarios.
Scape: shape completion and animation of people
Dragomir Anguelov, Praveen Srinivasan, Daphne Koller, Sebastian Thrun, Jim Rodgers, and James Davis · 2005
Earlier work this paper cites.
Simbicon: Simple biped locomotion control
KangKang Yin, Kevin Loken, and Michiel Van de Panne · 2007
Earlier work this paper cites.
Contact-aware nonlinear control of dynamic characters
Uldarico Muico, Yongjoon Lee, Jovan Popović, and Zoran Popović · 2009
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Data-driven biped control
Yoonsang Lee, Sungeun Kim, and Jehee Lee · 2010
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Smpl: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J Black · 2015
Earlier work this paper cites.
Phase-functioned neural networks for character control
Daniel Holden, Taku Komura, and Jun Saito · 2017
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Towards accurate marker-less human shape and pose estimation over time
Yinghao Huang, Federica Bogo, Christoph Lassner, Angjoo Kanazawa, Peter V Gehler, Javier Romero, Ijaz Akhter, and Michael J Black · 2017
Earlier work this paper cites.
Unite the people: Closing the loop between 3d and 2d human representations
Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J Black, and Peter V Gehler · 2017
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Vnect: Real-time 3d human pose estimation with a single rgb camera
Dushyant Mehta, Srinath Sridhar, Oleksandr Sotnychenko, Helge Rhodin, Mohammad Shafiei, Hans-Peter Seidel, Weipeng Xu, Dan Casas, and Christian Theobalt · 2017
Earlier work this paper cites.
Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
Earlier work this paper cites.
Indirect deep structured learning for 3d human body shape and pose prediction
Jun Kai Vince Tan, Ignas Budvytis, and Roberto Cipolla · 2017
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Learning 3d human pose from structure and motion
Rishabh Dabral, Anurag Mundhada, Uday Kusupati, Safeer Afaque, Abhishek Sharma, and Arjun Jain · 2018
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End-to-end recovery of human shape and pose
Angjoo Kanazawa, Michael J. Black, David W. Jacobs, and Jitendra Malik · 2018
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Single-shot multi-person 3d pose estimation from monocular rgb
Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Srinath Sridhar, Gerard Pons-Moll, and Christian Theobalt · 2018
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Learning to estimate 3d human pose and shape from a single color image
Georgios Pavlakos, Luyang Zhu, Xiaowei Zhou, and Kostas Daniilidis · 2018
Earlier work this paper cites.
Deepmimic: Example-guided deep reinforcement learning of physics-based character skills
Xue Bin Peng, Pieter Abbeel, Sergey Levine, and Michiel van de Panne · 2018
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Exploiting temporal context for 3d human pose estimation in the wild
Anurag Arnab, Carl Doersch, and Andrew Zisserman · 2019
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Learning to reconstruct 3d human pose and shape via model-fitting in the loop
Nikos Kolotouros, Georgios Pavlakos, Michael J Black, and Kostas Daniilidis · 2019
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Amass: Archive of motion capture as surface shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F Troje, Gerard Pons-Moll, and Michael J Black · 2019
Earlier work this paper cites.
Camera distance-aware top-down approach for 3d multi-person pose estimation from a single rgb image
Gyeongsik Moon, Ju Yong Chang, and Kyoung Mu Lee · 2019
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3d human pose estimation in video with temporal convolutions and semi-supervised training
Dario Pavllo, Christoph Feichtenhofer, David Grangier, and Michael Auli · 2019
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Mcp: Learning composable hierarchical control with multiplicative compositional policies
Xue Bin Peng, Michael Chang, Grace Zhang, Pieter Abbeel, and Sergey Levine · 2019
Earlier work this paper cites.
Human mesh recovery from monocular images via a skeleton-disentangled representation
Yu Sun, Yun Ye, Wu Liu, Wenpeng Gao, YiLi Fu, and Tao Mei · 2019
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Ego-pose estimation and forecasting as real-time pd control
Ye Yuan and Kris Kitani · 2019
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On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
Earlier work this paper cites.
Exemplar fine-tuning for 3d human pose fitting towards in-the-wild 3d human pose estimation
Hanbyul Joo, Natalia Neverova, and Andrea Vedaldi · 2020
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Vibe: Video inference for human body pose and shape estimation
Muhammed Kocabas, Nikos Athanasiou, and Michael J Black · 2020
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Learning to generate diverse dance motions with transformer
Jiaman Li, Yihang Yin, Hang Chu, Yi Zhou, Tingwu Wang, Sanja Fidler, and Hao Li · 2020
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Character controllers using motion vaes
Hung Yu Ling, Fabio Zinno, George Cheng, and Michiel van de Panne · 2020
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Drive sim
NVIDIA · 2020
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Contact and human dynamics from monocular video
Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan Russell, Ruben Villegas, and Jimei Yang · 2020
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Simpoe: Simulated character control for 3d human pose estimation
Ye Yuan, Shih-En Wei, Tomas Simon, Kris Kitani, and Jason Saragih · 2021
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Padl: Language-directed physics-based character control
Jordan Juravsky, Yunrong Guo, Sanja Fidler, and Xue Bin Peng · 2022
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D&d: Learning human dynamics from dynamic camera
Jiefeng Li, Siyuan Bian, Chao Xu, Gang Liu, Gang Yu, and Cewu Lu · 2022
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Embodied scene-aware human pose estimation
Zhengyi Luo, Shun Iwase, Ye Yuan, and Kris Kitani · 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
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Generating useful accident-prone driving scenarios via a learned traffic prior
Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, and Or Litany · 2022
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Physcap: Physically plausible monocular 3d motion capture in real time
Soshi Shimada, Vladislav Golyanik, Weipeng Xu, and Christian Theobalt · 2020
Cited alongside, same era.
Human body model fitting by learned gradient descent
Jie Song, Xu Chen, and Otmar Hilliges · 2020
Cited alongside, same era.
Hmor: Hierarchical multi-person ordinal relations for monocular multi-person 3d pose estimation
Can Wang, Jiefeng Li, Wentao Liu, Chen Qian, and Cewu Lu · 2020
Cited alongside, same era.
A scalable approach to control diverse behaviors for physically simulated characters
Jungdam Won, Deepak Gopinath, and Jessica Hodgins · 2020
Cited alongside, same era.
Residual force control for agile human behavior imitation and extended motion synthesis
Ye Yuan and Kris Kitani · 2020
Cited alongside, same era.
Weakly-supervised learning of human dynamics
Petrissa Zell, Bodo Rosenhahn, and Bastian Wandt · 2020
Cited alongside, same era.
Later among the works it cites.
Physics-based character controllers using conditional vaes
Jungdam Won, Deepak Gopinath, and Jessica Hodgins · 2022
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ViTPose: Simple vision transformer baselines for human pose estimation
Yufei Xu, Jing Zhang, Qiming Zhang, and Dacheng Tao · 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
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Glamr: Global occlusion-aware human mesh recovery with dynamic cameras
Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, and Jan Kautz · 2022
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Multi-modal 3d human pose estimation with 2d weak supervision in autonomous driving
Jingxiao Zheng, Xinwei Shi, Alexander Gorban, Junhua Mao, Yang Song, Charles R Qi, Ting Liu, Visesh Chari, Andre Cornman, Yin Zhou, et al · 2022
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Pmp: Learning to physically interact with environments using part-wise motion priors
Jinseok Bae, Jungdam Won, Donggeun Lim, Cheol-Hui Min, and Young Min Kim · 2023
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Executing your commands via motion diffusion in latent space
Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, and Gang Yu · 2023
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C· ase: Learning conditional adversarial skillembeddings for physics-based characters
Zhiyang Dou, Xuelin Chen, Qingnan Fan, Taku Komura, and Wenping Wang · 2023
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Trace and pace: Controllable pedestrian animation via guided trajectory diffusion
Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, and Or Litany · 2023
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Insactor: Instruction-driven physics-based characters
Jiawei Ren, Mingyuan Zhang, Cunjun Yu, Xiao Ma, Liang Pan, and Ziwei Liu · 2023
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Calm: Conditional adversarial latent models for directable virtual characters
Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, and Xue Bin Peng · 2023
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Human motion diffusion model
Guy Tevet, Sigal Raab, Brian Gordon, Yoni Shafir, Daniel Cohen-or, and Amit Haim Bermano · 2023
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Tlcontrol: Trajectory and language control for human motion synthesis
Weilin Wan, Zhiyang Dou, Taku Komura, Wenping Wang, Dinesh Jayaraman, and Lingjie Liu · 2023
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Learning human dynamics in autonomous driving scenarios
Jingbo Wang, Ye Yuan, Zhengyi Luo, Kevin Xie, Dahua Lin, Umar Iqbal, Sanja Fidler, and Sameh Khamis · 2023
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Moconvq: Unified physics-based motion control via scalable discrete representations
Heyuan Yao, Zhenhua Song, Yuyang Zhou, Tenglong Ao, Baoquan Chen, and Libin Liu · 2023
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Physdiff: Physics-guided human motion diffusion model
Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, and Jan Kautz · 2023
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Adding conditional control to text-to-image diffusion models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
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Emdm: Efficient motion diffusion model for fast, high-quality motion generation
Wenyang Zhou, Zhiyang Dou, Zeyu Cao, Zhouyingcheng Liao, Jingbo Wang, Wenjia Wang, Yuan Liu, Taku Komura, Wenping Wang, and Lingjie Liu · 2023
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