W.A.L.T Video Diffusion
Transformer-based video generation system combining diffusion modeling and a causal encoder for unified latent space compression, using window attention for spatial and spatiotemporal modeling, enabling high-resolution, realistic video and image synthesis at benchmark standards.
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- Image to Image Generation
- AI-Powered
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What is W.A.L.T Video Diffusion?
W.A.L.T is a transformer-based method for photorealistic video generation via diffusion modeling. It uses a causal encoder to compress images and videos into a unified latent space, and a window attention architecture for joint spatial and spatiotemporal generative modeling.
This design allows for top performance on video (UCF-101 and Kinetics-600) and image (ImageNet) generation benchmarks without classifier free guidance. We also use a three-model cascade for text-to-video generation, producing 512 x 896 resolution videos at 8 frames per second.