SceneControl: Diffusion for Controllable Traffic Scene Generation-Reference-Cited by-同舟云学术

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SceneControl: Diffusion for Controllable Traffic Scene Generation

Published:2024-05-13 Issue: Volume: Page:16908-16914
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
language:
Short-container-title:

Author:

Lu Jack¹,Wong Kelvin²,Zhang Chris²,Suo Simon³,Urtasun Raquel²

Affiliation:

1. New York University

2. Waabi

3. University of Toronto

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610324.pdf?arnumber=10610324

Reference38 articles.

1. Universal Guidance for Diffusion Models

2. SimNet: Learning Reactive Self-driving Simulations from Real-world Observations

3. Controllable safety-critical closed-loop traffic simulation via guided diffusion;Chang,2023

4. GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting

5. Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation

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