Extrapolated Urban View Synthesis Benchmark

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nuscenes: A multimodal dataset for autonomous driving

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nuplan: A closed-loop ml-based planning benchmark for autonomous vehicles

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Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset

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Drivegan: Towards a controllable high-quality neural simulation

Seung Wook Kim, Jonah Philion, Antonio Torralba, and Sanja Fidler · 2021

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Nerf: Representing scenes as neural radiance fields for view synthesis

Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021

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Canadian adverse driving conditions dataset

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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

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Vista 2.0: An open, data-driven simulator for multimodal sensing and policy learning for autonomous vehicles

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Ithaca365: Dataset and driving perception under repeated and challenging weather conditions

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V2x-sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving

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Instant neural graphics primitives with a multiresolution hash encoding

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Ray priors through reprojection: Improving neural radiance fields for novel view extrapolation

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Depth-regularized optimization for 3d gaussian splatting in few-shot images

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Freesim: Toward free-viewpoint camera simulation in driving scenes, 2024

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Vista: A generalizable driving world model with high fidelity and versatile controllability

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Ggs: Generalizable gaussian splatting for lane switching in autonomous driving

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2d gaussian splatting for geometrically accurate radiance fields

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