Marco Pavone
Stanford, NVIDIA
World models are frameworks that learn the internal representation of the world and are able to predict its future states. World modeling is not a new concept, however, in recent years due to significant improvement in computational power and abundance of available data, building effective world models is becoming a reality. World models are universally regarded as the next frontier in AI and a path to achieving human-level intelligence.
This workshop brings researchers from academia and industry working at the intersection of computer vision, robotics, language, and generative modeling to explore what distinguishes world models from other predictive systems, such as video generation models, whether existing world models are sufficient for embodied AI, which modalities a good world model should posses, what data and learning schemas are best suited for training world models, and how to effectively integrate world models within embodied AI.
Stanford, NVIDIA
AMI Labs
EPFL
Bristol, Deepmind
Waymo, GoogleBrain
GeorgiaTech
Tsinghua, SpiritAI
Columbia
Wayve
Sun Yat-Sen
Zenseact
We invite original research contributions on world modeling and embodied AI, aligned with any of the topics of interest of the workshop. We accept both archival (between 8-14 pages long excluding references) and non-archival (limited to 7 pages excluding references). The submitted works should follow the official ECCV'26 guidelines. The submissions are evaluated based on the novelty, relevance to the workshop topics, and significance. The accepted archival papers will be included in the ECCV workshop proceedings.
Top-three papers and the best poster will receive awards and certificates courtesy of our partners from
Zenseact. The awards ceremony will be held at the end of the workshop.
Noah's Ark Lab
Noah's Ark Lab
Stanford, UWaterloo
TU Delft
U of Guelph
U of Alberta
Meta
U de Montreal
UWaterloo
For questions about submissions, the program, or workshop logistics, please contact the organizing team
Email: eccv26.wmeai@gmail.com