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We introduce a method for generating realistic pedestrian trajectories and full-body animations that can be controlled to meet user-defined goals.
Social force model for pedestrian dynamics
Dirk Helbing and Peter Molnar · 1995
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Simulating dynamical features of escape panic
Dirk Helbing, Illés Farkas, and Tamas Vicsek · 2000
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Congested traffic states in empirical observations and microscopic simulations
Martin Treiber, Ansgar Hennecke, and Dirk Helbing · 2000
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Crowds by example
Alon Lerner, Yiorgos Chrysanthou, and Dani Lischinski · 2007
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Reciprocal velocity obstacles for real-time multi-agent navigation
Jur Van den Berg, Ming Lin, and Dinesh Manocha · 2008
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You’ll never walk alone: Modeling social behavior for multi-target tracking
Stefano Pellegrini, Andreas Ess, Konrad Schindler, and Luc Van Gool · 2009
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Reciprocal n-body collision avoidance
Jur van den Berg, Stephen J Guy, Ming Lin, and Dinesh Manocha · 2011
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A connection between score matching and denoising autoencoders
Pascal Vincent · 2011
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Interactive manipulation of large-scale crowd animation
Jongmin Kim, Yeongho Seol, Taesoo Kwon, and Jehee Lee · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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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
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Social lstm: Human trajectory prediction in crowded spaces
Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, and Silvio Savarese · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Phase-functioned neural networks for character control
Daniel Holden, Taku Komura, and Jun Saito · 2017
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Desire: Distant future prediction in dynamic scenes with interacting agents
Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B Choy, Philip HS Torr, and Manmohan Chandraker · 2017
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Deeploco: Dynamic locomotion skills using hierarchical deep reinforcement learning
Xue Bin Peng, Glen Berseth, KangKang Yin, and Michiel van de Panne · 2017
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Group modeling: A unified velocity-based approach
Zhiguo Ren, Panayiotis Charalambous, Julien Bruneau, Qunsheng Peng, and Julien Pettré · 2017
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Social gan: Socially acceptable trajectories with generative adversarial networks
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, and Alexandre Alahi · 2018
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Crowd space: a predictive crowd analysis technique
Ioannis Karamouzas, Nick Sohre, Ran Hu, and Stephen J Guy · 2018
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Crowd simulation by deep reinforcement learning
Jaedong Lee, Jungdam Won, and Jehee Lee · 2018
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Microscopic traffic simulation using sumo
Pablo Alvarez Lopez, Michael Behrisch, Laura Bieker-Walz, Jakob Erdmann, Yun-Pang Flötteröd, Robert Hilbrich, Leonhard Lücken, Johannes Rummel, Peter Wagner, and Evamarie Wießner · 2018
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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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Learning symmetric and low-energy locomotion
Wenhao Yu, Greg Turk, and C. Karen Liu · 2018
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Amass: Archive of motion capture as surface shapes
Naureen Mahmood, N. Ghorbani, N. Troje, Gerard Pons-Moll, and Michael J. Black · 2019
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Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 2019
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nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
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Long-term human motion prediction with scene context
Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, and Jitendra Malik · 2020
Score-based generative modeling in latent space
Arash Vahdat, Karsten Kreis, and Jan Kautz · 2021
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Advsim: Generating safety-critical scenarios for self-driving vehicles
Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, and Raquel Urtasun · 2021
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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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Agentformer: Agent-aware transformers for socio-temporal multi-agent forecasting
Ye Yuan, Xinshuo Weng, Yanglan Ou, and Kris M Kitani · 2021
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https://stanfordasl.github.io/aa274a/pdfs/notes/lecture1.pdf
Principles of robot autonomy i, lecture 1 course notes: Mobile robot kinematics · 2022
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Deep whole-body control: Learning a unified policy for manipulation and locomotion
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Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction
Yuning Chai, Benjamin Sapp, Mayank Bansal, and Dragomir Anguelov · 2020
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Goal-gan: Multimodal trajectory prediction based on goal position estimation
Patrick Dendorfer, Aljosa Osep, and Laura Leal-Taixé · 2020
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Deep integration of physical humanoid control and crowd navigation
M. Brandon Haworth, Glen Berseth, Seonghyeon Moon, Petros Faloutsos, and Mubbasir Kapadia · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 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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Semantic synthesis of pedestrian locomotion
Maria Priisalu, Ciprian Paduraru, Aleksis Pirinen, and Cristian Sminchisescu · 2020
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Zipeng Fu, Xuxin Cheng, and Deepak Pathak · 2022
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Stochastic trajectory prediction via motion indeterminacy diffusion
Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, and Jiwen Lu · 2022
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Imagen video: High definition video generation with diffusion models
Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey Gritsenko, Diederik P Kingma, Ben Poole, Mohammad Norouzi, David J Fleet, et al · 2022
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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2022
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Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, and David J Fleet · 2022
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Planning with diffusion for flexible behavior synthesis
Michael Janner, Yilun Du, Joshua B Tenenbaum, and Sergey Levine · 2022
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Authoring virtual crowds: A survey
Marilena Lemonari, Rafael Blanco, Panayiotis Charalambous, Nuria Pelechano, Marios Avraamides, Julien Pettré, and Yiorgos Chrysanthou · 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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On distillation of guided diffusion models
Chenlin Meng, Ruiqi Gao, Diederik P Kingma, Stefano Ermon, Jonathan Ho, and Tim Salimans · 2022
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Ccp: Configurable crowd profiles
Andreas Panayiotou, Theodoros Kyriakou, Marilena Lemonari, Yiorgos Chrysanthou, and Panayiotis Charalambous · 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 scenarios with diverse pedestrian behaviors for autonomous vehicle testing
Maria Priisalu, Aleksis Pirinen, Ciprian Paduraru, and Cristian Sminchisescu · 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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Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S Sara Mahdavi, Rapha Gontijo Lopes, et al · 2022
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Physics-based character controllers using conditional vaes
Jungdam Won, Deepak Gopinath, and Jessica Hodgins · 2022
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Bits: Bi-level imitation for traffic simulation
Danfei Xu, Yuxiao Chen, Boris Ivanovic, and Marco Pavone · 2022
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Lion: Latent point diffusion models for 3d shape generation
Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, and Karsten Kreis · 2022
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The wanderings of odysseus in 3d scenes
Yan Zhang and Siyu Tang · 2022
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Guided conditional diffusion for controllable traffic simulation
Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, and Marco Pavone · 2023
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