LinGen-Uni: A Universal Linear-Complexity Framework for High-Resolution Minute-Length Text-to-Video Generation

Abstract excerpt

<title>Abstract</title> <p>Text-to-video generation enhances content creation but is highly computationally intensive: The computational cost of Diffusion Transformers (DiTs) scales quadratically in the number of pixels. This makes minute-length video generation extremely expensive, limiting most existing models to generating videos of only 10-20 seconds length. We propose a Linear-complexity text-to-video Genera...

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• Radiomics and Machine Learning in Medical Imaging

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Literature Corpus work

48658d70-986c-5e4d-9960-19a38f9dc60c

DOI

10.21203/rs.3.rs-7159495/v1