SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces

1. 1Implement SSM to model temporal dependencies in video data
2. 2Apply video diffusion models to generate long-term videos
3. 3Configure the model to reduce computational costs
4. 4Test the model on various video generation tasks
5. 5Evaluate the performance of the model using metrics such as PSNR and SSIM

AI engineers and researchers working on video generation tasks can benefit from this approach to improve the efficiency and quality of their models, and data scientists can apply this knowledge to various applications such as video editing and synthesis

💡 Using Structured State Spaces can reduce the computational costs of video diffusion models, making them more efficient for long-term video generation

📹 Generate long-term videos efficiently with SSM and video diffusion models! 💻