SceneDM: Scene-level Multi-agent Trajectory Generation with Consistent Diffusion Models

Sumo: a history of modification

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Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020

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Simnet: Learning reactive self-driving simulations from real-world observations

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Trafficsim: Learning to simulate realistic multi-agent behaviors

Simon Suo, Sebastian Regalado, Sergio Casas, and Raquel Urtasun · 2021

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Scene transformer: A unified architecture for predicting future trajectories of multiple agents

Jiquan Ngiam, Vijay Vasudevan, Benjamin Caine, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, et al · 2021

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Denoising diffusion implicit models

Jiaming Song, Chenlin Meng, and Stefano Ermon · 2021

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Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction

Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi Pang Lam, Dragomir Anguelov, et al · 2022

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Tae: A semi-supervised controllable behavior-aware trajectory generator and predictor

Ruochen Jiao, Xiangguo Liu, Bowen Zheng, Dave Liang, and Qi Zhu · 2022

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Trafficgen: Learning to generate diverse and realistic traffic scenarios

Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, and Bolei Zhou · 2023

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Motiondiffuser: Controllable multi-agent motion prediction using diffusion

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Guided conditional diffusion for controllable traffic simulation

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Control-a-video: Controllable text-to-video generation with diffusion models

Original

Weifeng Chen, Jie Wu, Pan Xie, Hefeng Wu, Jiashi Li, Xin Xia, Xuefeng Xiao, and Liang Lin · 2023

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