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LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving

LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving

Mahmut Yurt
Xin Ye
Yunsheng Ma
Jingru Luo
Abhirup Mallik
John Pauly
Burhaneddin Yaman
Liu Ren
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Papers citing "LTDA-Drive: LLMs-guided Generative Models based Long-tail Data Augmentation for Autonomous Driving"

2 / 2 papers shown
Title
DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation
Hongbin Lin
Zilu Guo
Yiming Zhang
Shuaicheng Niu
Yafeng Li
Ruiyi Zhang
Shuguang Cui
Zhen Li
DiffM
79
1
0
14 Mar 2025
BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance
BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance
Xin Ye
Burhaneddin Yaman
Sheng Cheng
Feng Tao
Abhirup Mallik
Liu Ren
DiffM
117
2
0
27 Feb 2025