VQV Signal
The Serial-to-Parallel Diffusion (S2PD) method improves video generation by starting with autoregressive diffusion at high noise levels and switching to parallel diffusion at low noise. This approach addresses physical and logical inconsistencies found in fully parallel video diffusion models.
The Serial-to-Parallel Diffusion (S2PD) method improves video generation by starting with autoregressive diffusion at high noise levels and switching to parallel diffusion at low noise. This approach addresses physical and logical inconsistencies found in fully parallel video diffusion models.
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Bidirectional video diffusion models denoise entire videos in parallel, yet when trained on effectively unlimited in-distribution data from procedural generators, continue to violate physical laws and simple symbolic rules. We introduce Serial-to-Parallel Diffusion (S2PD), which performs autoregressive diffusion...
S2PD enhances the physical and symbolic consistency of generated videos, overcoming limitations of existing bidirectional diffusion models. This can lead to more realistic and logically coherent AI-generated video content.
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