Main

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review version

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html import

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Events

first seen date

2025-01-28 18:20:07

expired found date

-

created at

2025-01-28 18:20:07

updated at

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87719371 (github.io)

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Server

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mp rejected date

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Open Graph

title

StillMoving

description

Customized Video Generation without Customized Video Data.

site name

StillMoving

author

updated

2026-02-24 13:13:58

raw text

StillMoving Personalized Generation Stylized Generation Controlled Generation Still-Moving A Research Exploration into Customized Video Generation without Customized Video Data Read Paper Supplementary Materials Personalized Video Generation Given a text-to-video (T2V) model built over a text-to-image (T2I) model, Still-Moving can adjust any customized T2I weights to align with the T2V model. This adaptation uses only a few still reference images, and preserves the motion prior of the T2V model. Below we show examples of personalized video generation by adapting personalized T2I models (e.g. DreamBooth, [Ruiz et al. 2022]).    * Hover over the video to see the prompt. Reference images Generated Personalized Videos [V] chipmunk flying with a cape [V] chipmunk riding a skateboard [V] chipmunk picnicking under a tree with a basket of snacks [V] chipmunk riding a toy car down a grassy hill [V] chipmunk playing with a ball. [V] chipmunk...

Text analysis

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