Framework.

Framework.

<p>Based on the proposed INR Smooth strategy, two video smoothing editing methods are proposed, one for T2V training models (green) and one for T2V training-free models (blue).</p>

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Bibliographic Details
Main Author:	Cuihong Yu (21213353) (author)
Other Authors:	Cheng Han (87179) (author), Chao Zhang (51048) (author)
Published:	2025
Subjects:	Marine Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified t2v generation tasks text alignment failure ensure text alignment video generation task tuning training method div >< p interframe noise relation diverse video content t2v training models video smoothing problems t2v training interframe noise video smoothing free models free method content inconsistency noise constraints excessive smoothing video simultaneously video frames video demos proposed training typical issues temporal consistency source codes shot fine real scenes provide people outstanding performance often lost experimental comparison background texture artistic styles artistic expression
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