Synthetic Video Enhances Physical Fidelity in Video Synthesis

Qi Zhao, Xingyu Ni, Ziyu Wang, Feng Cheng, Ziyan Yang, Lu Jiang, Bohan Wang; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025, pp. 12135-12146

We investigate how to enhance the physical fidelity of video generation models by leveraging synthetic videos generated via standard computer graphics techniques. These rendered videos respect real-world physics -- such as maintaining 3D consistency -- thereby serving as a valuable resource that can potentially improve video generation models. To harness this potential, we propose a solution that curates and integrates synthetic data while introducing a method to transfer its physical realism to the model, minimizing unwanted artifacts. Through experiments on three representative tasks emphasizing physical consistency, we demonstrate its effectiveness in enhancing physical fidelity. While our model still lacks a deep understanding of physics, our work offers one of the first empirical demonstrations that synthetic video enhances physical fidelity in video synthesis.