First Order Motion Model
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Overview
HEALTH SCORE
Critical*
Partial score (2/3 categories)
13out of 65
Development cadence is the primary crisis signal. Maintainer coverage shows little to offset it. Every health signal is at or near zero. Security & Supply Chain is unavailable, so weights were redistributed.
LIFECYCLE
Abandoned
No maintainer activity in over 18 months.
Health breakdown
Critical*(13/65)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
No PRs or issues were opened in the review window, so response time could not be measured.
Bus factor
No data available. Repository has not been indexed for bus factor.
Company diversity
Contributors span 17 companies.
Project Achievements
Leaderboards
About
First Order Motion Model is a deep learning project that enables animation of objects in source images using driving videos, allowing motion transfer between similar objects. The model can animate faces, human bodies, and other objects by applying the motion from a driving video while preserving the appearance of the source image.
First commit
Software value
$628K
Tags
deep-learning
generative-model
image-animation
motion-retargeting
License(s)
MIT
Data sources
Git
GitHub