Single Forward Video Generation Model

Supplementary Material

 

 

 

 


Qualitative Results

In this section, we provide more qualitative results of our method on video generation.

 

 

 


Comparisons

In this section, we provide video comparison results of our method with others as mentioned in the paper.

SVD[2] 25 steps SVD[2] 16 steps SVD[2] 8 steps AnimateLCM[1] 4 steps

Ours

 

 

 


Ablation Results

In this section, we provide video ablation results as mentioned in the paper.

P_{mean} = -2

P_{mean} = -1

P_{mean} = 0 P_{mean} = 1
P_{std} = -1

P_{std} = -1

P_{std} = 1 P_{std} = 1

 

 

 


Demo

In this section, we provide a screen recording demo showing the efficiency of our method.


 

 

 

References

[1] Wang, Fu-Yun, Zhaoyang Huang, Xiaoyu Shi, Weikang Bian, Guanglu Song, Yu Liu, and Hongsheng Li. "AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning." arXiv preprint arXiv:2402.00769 (2024).

[2] Blattmann, Andreas, Tim Dockhorn, Sumith Kulal, Daniel Mendelevitch, Maciej Kilian, Dominik Lorenz, Yam Levi et al. "Stable video diffusion: Scaling latent video diffusion models to large datasets." arXiv preprint arXiv:2311.15127 (2023).