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Recent advances in diffusion models have improved controllable streetscape generation and supported downstream perception and planning tasks.
I. Loshchilov and F. Hutter, “Decoupled weight decay regularization,”
2017
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M. Heusel, H. Ramsauer, T. Unterthiner, B. Nessler, and S. Hochreiter, “Gans trained by a two time-scale update rule converge to a local nash equilibrium,”
2017
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2018
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H. Caesar, V. Bankiti, A. H. Lang, S. Vora, V. E. Liong, Q. Xu, A. Krishnan, Y. Pan, G. Baldan, and O. Beijbom, “nuscenes: A multimodal dataset for autonomous driving,” in
2020
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P. Sun, H. Kretzschmar, X. Dotiwalla, A. Chouard, V. Patnaik, P. Tsui, J. Guo, Y. Zhou, Y. Chai, B. Caine,
2020
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J. Song, C. Meng, and S. Ermon, “Denoising diffusion implicit models,”
2020
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Y. Chen, S. Liu, X. Shen, and J. Jia, “Dsgn: Deep stereo geometry network for 3d object detection,” in
2020
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2021
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T. Yin, X. Zhou, and P. Krahenbuhl, “Center-based 3d object detection and tracking,” in
2021
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B. Mildenhall, P. P. Srinivasan, M. Tancik, J. T. Barron, R. Ramamoorthi, and R. Ng, “Nerf: Representing scenes as neural radiance fields for view synthesis,”
2021
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P. Dhariwal and A. Nichol, “Diffusion models beat gans on image synthesis,”
2021
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A. Q. Nichol and P. Dhariwal, “Improved denoising diffusion probabilistic models,” in
2021
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A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark,
2021
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J. Ho, T. Salimans, A. Gritsenko, W. Chan, M. Norouzi, and D. J. Fleet, “Video diffusion models,”
2022
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V. Voleti, A. Jolicoeur-Martineau, and C. Pal, “Mcvd-masked conditional video diffusion for prediction, generation, and interpolation,”
2022
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Y. Liu, T. Wang, X. Zhang, and J. Sun, “Petr: Position embedding transformation for multi-view 3d object detection,” in
2022
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R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer, “High-resolution image synthesis with latent diffusion models,” in
2022
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T. Liang, H. Xie, K. Yu, Z. Xia, Z. Lin, Y. Wang, T. Tang, B. Wang, and Z. Tang, “Bevfusion: A simple and robust lidar-camera fusion framework,”
2022
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B. Zhou and P. Krähenbühl, “Cross-view transformers for real-time map-view semantic segmentation,” in
2022
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Z. Li, W. Wang, H. Li, E. Xie, C. Sima, T. Lu, Y. Qiao, and J. Dai, “Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,” in
2022
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C. Saharia, W. Chan, S. Saxena, L. Li, J. Whang, E. L. Denton, K. Ghasemipour, R. Gontijo Lopes, B. Karagol Ayan, T. Salimans,
2022
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2022
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2022
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2023
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X. Li, T. Ma, Y. Hou, B. Shi, Y. Yang, Y. Liu, X. Wu, Q. Chen, Y. Li, Y. Qiao,
2023
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Y. Hu, J. Yang, L. Chen, K. Li, C. Sima, X. Zhu, S. Chai, S. Du, T. Lin, W. Wang,
2023
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B. Jiang, S. Chen, Q. Xu, B. Liao, J. Chen, H. Zhou, Q. Zhang, W. Liu, C. Huang, and X. Wang, “Vad: Vectorized scene representation for efficient autonomous driving,” in
2023
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2023
Earlier work this paper cites.
2023
Cited alongside, same era.
B. Kerbl, G. Kopanas, T. Leimkühler, and G. Drettakis, “3d gaussian splatting for real-time radiance field rendering.,”
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
X. Chen, Y. Wang, L. Zhang, S. Zhuang, X. Ma, J. Yu, Y. Wang, D. Lin, Y. Qiao, and Z. Liu, “Seine: Short-to-long video diffusion model for generative transition and prediction,” in
2024
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Y. Wen, Y. Zhao, Y. Liu, F. Jia, Y. Wang, C. Luo, C. Zhang, T. Wang, X. Sun, and X. Zhang, “Panacea: Panoramic and controllable video generation for autonomous driving,” in
2024
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2024
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2024
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2023
Cited alongside, same era.
Z. Xing, Q. Feng, H. Chen, Q. Dai, H. Hu, H. Xu, Z. Wu, and Y.-G. Jiang, “A survey on video diffusion models,”
2023
Cited alongside, same era.
2023
Cited alongside, same era.
H. Turki, J. Y. Zhang, F. Ferroni, and D. Ramanan, “Suds: Scalable urban dynamic scenes,” in
2023
Cited alongside, same era.
F. Lu, Y. Xu, G. Chen, H. Li, K.-Y. Lin, and C. Jiang, “Urban radiance field representation with deformable neural mesh primitives,” in
2023
Cited alongside, same era.
2023
Cited alongside, same era.
L. Zhang, A. Rao, and M. Agrawala, “Adding conditional control to text-to-image diffusion models,” in
2023
Cited alongside, same era.
L. Wenl, D. Fu, S. Mao, P. Cai, M. Dou, Y. Li, and Y. Qiao, “Limsim: A long-term interactive multi-scenario traffic simulator,” in
2023
Cited alongside, same era.
2024
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2024
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2024
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2024
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2024
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Y. Zeng, G. Wei, J. Zheng, J. Zou, Y. Wei, Y. Zhang, and H. Li, “Make pixels dance: High-dynamic video generation,” in
2024
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W. Weng, R. Feng, Y. Wang, Q. Dai, C. Wang, D. Yin, Z. Zhao, K. Qiu, J. Bao, Y. Yuan,
2024
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X. Zhou, Z. Lin, X. Shan, Y. Wang, D. Sun, and M.-H. Yang, “Drivinggaussian: Composite gaussian splatting for surrounding dynamic autonomous driving scenes,” in
2024
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J. Yang, S. Gao, Y. Qiu, L. Chen, T. Li, B. Dai, K. Chitta, P. Wu, J. Zeng, P. Luo,
2024
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B. Huang, Y. Wen, Y. Zhao, Y. Hu, Y. Liu, F. Jia, W. Mao, T. Wang, C. Zhang, C. W. Chen,
2024
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E. Ma, L. Zhou, T. Tang, Z. Zhang, D. Han, J. Jiang, K. Zhan, P. Jia, X. Lang, H. Sun,
2024
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Y. Wang, J. He, L. Fan, H. Li, Y. Chen, and Z. Zhang, “Driving into the future: Multiview visual forecasting and planning with world model for autonomous driving,” in
2024
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B. Li, J. Guo, H. Liu, Y. Zou, Y. Ding, X. Chen, H. Zhu, F. Tan, C. Zhang, T. Wang,
2024
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J. Jiang, G. Hong, L. Zhou, E. Ma, H. Hu, X. Zhou, J. Xiang, F. Liu, K. Yu, H. Sun,
2024
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Z. Yang, J. Teng, W. Zheng, M. Ding, S. Huang, J. Xu, Y. Yang, W. Hong, X. Zhang, G. Feng,
2024
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A. Swerdlow, R. Xu, and B. Zhou, “Street-view image generation from a bird’s-eye view layout,”
2024
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2024
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2024
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2024
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B. F. Labs, “Flux.”
2024
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W. Zhao, L. Bai, Y. Rao, J. Zhou, and J. Lu, “Unipc: A unified predictor-corrector framework for fast sampling of diffusion models,”
2024
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D. Dauner, M. Hallgarten, T. Li, X. Weng, Z. Huang, Z. Yang, H. Li, I. Gilitschenski, B. Ivanovic, M. Pavone, A. Geiger, and K. Chitta, “Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking,”
2024
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J. Lu, Z. Huang, Z. Yang, J. Zhang, and L. Zhang, “Wovogen: World volume-aware diffusion for controllable multi-camera driving scene generation,” in
2025
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