VideoFlexTok: Flexible-Length Coarse-to-Fine Video Tokenization

Researchers have introduced VideoFlexTok, a new method for variable-length video tokenization that organizes tokens from coarse to fine details, enabling more efficient and adaptable video modeling. This approach reduces the computational complexity of training models by allowing them to focus on abstract information before finer details, leading to comparable generation quality with significantly smaller model sizes and fewer tokens required for long videos.

Read the full article at arXiv cs.CV (Vision)

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