PSIVG
[CVPR 2026] Physical Simulator In-the-Loop Video Generation
[CVPR 2026] Physical Simulator In-the-Loop Video Generation
Lin Geng Foo1,5, Mark He Huang2,3, Alexandros Lattas4, Stylianos Moschoglou4, Thabo Beeler4, Christian Theobalt1,5 1Max Planck Institute for Informatics, Saarland Informatics Campus, 2SUTD, 3A*STAR, 4Google, 5Saarbrücken Research Center for Visual Computing, Interaction and Artificial Intelligence[Project Page] | [Paper] | [Video]
Usage
Please refer to the instructions.md for environment setup and pipeline execution.
Disclaimer: This repository offers a reference implementation of the pipeline described in the paper. The code is intended for research purposes only, is not optimized for robustness or production environments, and may not be actively maintained.
License
This project is released under the Apache 2.0 License.
BibTeX
@InProceedings{Foo_2026_CVPR,
author = {Foo, Lin Geng and Huang, Mark He and Lattas, Alexandros and Moschoglou, Stylianos and Beeler, Thabo and Theobalt, Christian},
title = {Physical Simulator In-the-Loop Video Generation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2026},
pages = {4301-4311}
}
Acknowledgments
This project is built upon invaluable open-source research projects: ViPE, PhysGen3D, Taichi, Taichi Elements, Mitsuba, GroundingDINO, SAM, LaMa, InstantMesh, lang-segment-anything, Go-with-the-Flow, cogvideox-factory, CogVideoX, HunyuanVideo.
We also thank these research projects for sharing their code: pisa-experiments, MotionClone, SG-I2V, ImageConductor, DragAnything, VBench.
more like this
SimGAN
Pytorch Implementation of SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement L…
quadcopter_with_PID_controller
Quadcopter dynamics simulation with two proportional–integral–derivative (PID) controllers that adjust the motor speeds…
