DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch

26 September 2023

Papers citing "DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch"

6 / 6 papers shown

Title
Continuous Locomotive Crowd Behavior Generation Inhwan Bae Junoh Lee Hae-Gon Jeon 31 0 0 07 Apr 2025
A Survey of Generative AI for Intelligent Transportation Systems Huan Yan Yong Li 21 8 0 13 Dec 2023
Human Motion Diffusion Model Guy Tevet Sigal Raab Brian Gordon Yonatan Shafir Daniel Cohen-Or Amit H. Bermano DiffM VGen 188 723 0 29 Sep 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 622 0 20 May 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 211 1,353 0 24 Jan 2022
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset Scott Ettinger Shuyang Cheng Benjamin Caine Chenxi Liu Hang Zhao ... Jiquan Ngiam Vijay Vasudevan Alexander McCauley Jonathon Shlens Drago Anguelov 129 530 0 20 Apr 2021