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Realistic and interactive scene simulation is a key prerequisite for autonomous vehicle (AV) development.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017
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Adafactor: Adaptive learning rates with sublinear memory cost
Noam Shazeer and Mitchell Stern · 2018
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Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction
Benjamin Sapp, Yuning Chai, Mayank Bansal, and Dragomir Anguelov · 2020
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SimNet: Learning reactive self-driving simulations from real-world observations
Luca Bergamini, Yawei Ye, Oliver Scheel, Long Chen, Chih Hu, Luca Del Pero, Błażej Osiński, Hugo Grimmet, and Peter Ondruska · 2021
Earlier work this paper cites.
Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset
Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurélien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, and Dragomir Anguelov · 2021
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Perceiver io: A general architecture for structured inputs & outputs
Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, et al · 2021
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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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Scenegen: Learning to generate realistic traffic scenes
Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, and Raquel Urtasun · 2021
Earlier work this paper cites.
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 · 2021
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Symphony: Learning realistic and diverse agents for autonomous driving simulation
Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, and Shimon Whiteson · 2022
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Planning with diffusion for flexible behavior synthesis
Michael Janner, Yilun Du, Joshua Tenenbaum, and Sergey Levine · 2022
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Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, and Jun Zhu · 2022
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Repaint: Inpainting using denoising diffusion probabilistic models
Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, and Luc Van Gool · 2022
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Wayformer: Motion forecasting via simple & efficient attention networks
Nigamaa Nayakanti, Rami Al-Rfou, Aurick Zhou, Kratarth Goel, Khaled S Refaat, and Benjamin Sapp · 2022
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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, David J Weiss, Benjamin Sapp, Zhifeng Chen, and Jonathon Shlens · 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 L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al · 2022
Earlier work this paper cites.
Progressive distillation for fast sampling of diffusion models
Tim Salimans and Jonathan Ho · 2022
Cited alongside, same era.
Mtr-a: 1st place solution for 2022 waymo open dataset challenge–motion prediction
Shaoshuai Shi, Li Jiang, Dengxin Dai, and Bernt Schiele · 2022
Cited alongside, same era.
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world
Eugene Vinitsky, Nathan Lichtlé, Xiaomeng Yang, Brandon Amos, and Jakob Foerster · 2022
Cited alongside, same era.
Controllable safety-critical closed-loop traffic simulation via guided diffusion, 2023
Wei-Jer Chang, Francesco Pittaluga, Masayoshi Tomizuka, Wei Zhan, and Manmohan Chandraker · 2023
Cited alongside, same era.
Diffusion policy: Visuomotor policy learning via action diffusion
Cheng Chi, Siyuan Feng, Yilun Du, Zhenjia Xu, Eric Cousineau, Benjamin Burchfiel, and Shuran Song · 2023
Cited alongside, same era.
Motionlm: Multi-agent motion forecasting as language modeling
Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S. Refaat, Rami Al-Rfou, and Benjamin Sapp · 2023
Later among the works it cites.
Make-a-video: Text-to-video generation without text-video data
Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, Devi Parikh, Sonal Gupta, and Yaniv Taigman · 2023
Later among the works it cites.
Language conditioned traffic generation
Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, and Philipp Krähenbühl · 2023
Later among the works it cites.
Multiverse transformer: 1st place solution for waymo open sim agents challenge 2023
Yu Wang, Tiebiao Zhao, and Fan Yi · 2023
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Bits: Bi-level imitation for traffic simulation
Danfei Xu, Yuxiao Chen, Boris Ivanovic, and Marco Pavone · 2023
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Video generation models as world simulators
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Dice: Diverse diffusion model with scoring for trajectory prediction, 2023
Younwoo Choi, Ray Coden Mercurius, Soheil Mohamad Alizadeh Shabestary, and Amir Rasouli · 2023
Cited alongside, same era.
Trafficgen: Learning to generate diverse and realistic traffic scenarios
Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, and Bolei Zhou · 2023
Cited alongside, same era.
SceneDM: Scene-level multi-agent trajectory generation with consistent diffusion models, 2023
Zhiming Guo, Xing Gao, Jianlan Zhou, Xinyu Cai, and Botian Shi · 2023
Cited alongside, same era.
Photorealistic video generation with diffusion models, 2023
Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Li Fei-Fei, Irfan Essa, Lu Jiang, and José Lezama · 2023
Cited alongside, same era.
simple diffusion: End-to-end diffusion for high resolution images
Emiel Hoogeboom, Jonathan Heek, and Tim Salimans · 2023
Cited alongside, same era.
Motiondiffuser: Controllable multi-agent motion prediction using diffusion
Chiyu “Max” Jiang, Andre Cornman, Cheolho Park, Benjamin Sapp, Yin Zhou, and Dragomir Anguelov · 2023
Cited alongside, same era.
The waymo open sim agents challenge
Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nick Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, and Dragomir Anguelov · 2023
Cited alongside, same era.
Tim Brooks, Bill Peebles, Connor Homes, Will DePue, Yufei Guo, Li Jing, David Schnurr, Joe Taylor, Troy Luhman, Eric Luhman, Clarence Wing Yin Ng, Ricky Wang, and Aditya Ramesh · 2024
Closest in time.
Sledge: Synthesizing simulation environments for driving agents with generative models, 2024
Kashyap Chitta, Daniel Dauner, and Andreas Geiger · 2024
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Versatile scene-consistent traffic scenario generation as optimization with diffusion, 2024
Zhiyu Huang, Zixu Zhang, Ameya Vaidya, Yuxiao Chen, Chen Lv, and Jaime Fernández Fisac · 2024
Closest in time.
Scenecontrol: Diffusion for controllable traffic scene generation
Jack Lu, Kelvin Wong, Chris Zhang, Simon Suo, and Raquel Urtasun · 2024
Closest in time.
Unigen: Unified modeling of initial agent states and trajectories for generating autonomous driving scenarios
Reza Mahjourian, Rongbing Mu, Valerii Likhosherstov, Paul Mougin, Xiukun Huang, Joao Messias, and Shimon Whiteson · 2024
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Editable image elements for controllable synthesis
Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, and Taesung Park · 2024
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Lazy diffusion transformer for interactive image editing, 2024
Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, and Michaël Gharbi · 2024
Closest in time.
Trajeglish: Learning the language of driving scenarios
Jonah Philion, Xue Bin Peng, and Sanja Fidler · 2024
Closest in time.
Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention querying
Shaoshuai Shi, Li Jiang, Dengxin Dai, and Bernt Schiele · 2024
Closest in time.
Drivescenegen: Generating diverse and realistic driving scenarios from scratch
Shuo Sun, Zekai Gu, Tianchen Sun, Jiawei Sun, Chengran Yuan, Yuhang Han, Dongen Li, and Marcelo H Ang · 2024
Closest in time.
Wcdt: World-centric diffusion transformer for traffic scene generation, 2024
Chen Yang, Aaron Xuxiang Tian, Dong Chen, Tianyu Shi, and Arsalan Heydarian · 2024
Closest in time.