Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modeling
Paper
• 2603.04553 • Published
• 1
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OBJ3D dataset originally from G-SWM. It contains video frames of synthetic CLEVR-like objects colliding.
This dataset is used for evaluating object-centric world models and stochastic dynamics, as featured in the paper: Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modeling.
To train models on this dataset using the official implementation, you can use the following commands:
python train_dlp.py --dataset obj3d_img
accelerate launch --config_file ./accel_conf.yml train_lpwm_accelerate.py --dataset obj3d128
@inproceedings{
daniel2026latent,
title={Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modeling},
author={Tal Daniel and Carl Qi and Dan Haramati and Amir Zadeh and Chuan Li and Aviv Tamar and Deepak Pathak and David Held},
booktitle={The Fourteenth International Conference on Learning Representations},
year={2026},
url={https://openreview.net/forum?id=lTaPtGiUUc}
}