RESEARCH PAPERSubmitted 21 Feb 2025

VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Florent Bartoccioni; Elias Ramzi; Victor Besnier; Shashanka Venkataramanan; Tuan-Hung Vu; Yihong Xu; Loick Chambon; Spyros Gidaris; Serkan Odabas; David Hurych; Renaud Marlet; Alexandre Boulch; Mickael Chen; Éloi Zablocki; Andrei Bursuc; Eduardo Valle; Matthieu Cord

Read on arXiv PDF Code Project page

Classification

View four quadrants

Major category: WAMs
Quadrant: Outside quadrants
Architecture: Dual-system
Prediction paradigm: Other mechanisms
Subcategories: Autonomous driving Efficient inference & real-time control
Source review status: Verified from primary sources

AT A GLANCE

Contribution

A contribution summary has not been added yet.

Abstract

An abstract has not been added yet.

Affiliations

Not listed in the collection.

BibTeX

@article{vavim_vavam,
      title={VaViM and VaVAM: Autonomous Driving through Video Generative Modeling}, 
      author={Florent Bartoccioni and Elias Ramzi and Victor Besnier and Shashanka Venkataramanan and Tuan-Hung Vu and Yihong Xu and Loick Chambon and Spyros Gidaris and Serkan Odabas and David Hurych and Renaud Marlet and Alexandre Boulch and Mickael Chen and Éloi Zablocki and Andrei Bursuc and Eduardo Valle and Matthieu Cord},
      year={2025},
      journal={arXiv:2502.15672},
}

Classification

Contribution

Abstract

Affiliations

BibTeX

More in this category

DUET-DINO: Simultaneous Cross-View World Modeling for Latent Planning in Robot Manipulation

Grounding Generated Video Plans in Simulation Towards Versatile Dexterous Controllers

HaWMPO: Hallucination-Aware World Model-based Policy Optimization for Generalist Robot Policy