[D] Diffusion models can act as a low-fidelity short-term simulators

I've trained [Video Diffusion](https://video-diffusion.github.io/) (DDPM+time) with a synthetic dataset of small fluid simulations. This dataset is available on [HuggingFace](https://huggingface.co/datasets/jorgejgnz/simple-fluid-simulations). To perform video prediction I've done temporal inpainting, masking the first half of the video and letting the model predict the second half.

According to [results](https://youtu.be/jXkiqJNSph8), diffusion models can act as a low-fidelity short-term simulators. I think this can be useful for "previewing" very expensive simulations: large fluid simulations, complex systems, multi-agents, etc.

The big problem here is that doing this …

act application big dataset diffusion diffusion model diffusion models fidelity low machinelearning replicate simulation simulations