2 repositorios
Awesome GitHub RepositoriesKeypoint-Based Motion Transfer Models
Architectures that decouple appearance from movement by tracking structural deformations through latent keypoints.
Distinct from Keypoint Detection: Distinct from Keypoint Detection: focuses on using keypoints for generative motion transfer rather than just landmark identification.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Keypoint-Based Motion Transfer Models. Refine with filters or upvote what's useful.
Awesome Keypoint-Based Motion Transfer Models GitHub Repositories
Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
- vercel/vercel
vercel/vercel
15,738Ver en GitHubVercel is a cloud platform for building, deploying, and scaling web applications. It provides a unified infrastructure that automates the build process by detecting project frameworks and distributing static and dynamic content through a global content delivery network. The platform executes application logic using serverless functions that scale automatically based on real-time traffic demand. The platform distinguishes itself through a centralized AI gateway that proxies requests to multiple model providers, enabling standardized authentication, observability, and cost tracking. It supports
Applies movement patterns from a reference video onto a character or subject from a static image.
TypeScriptclicloudcommand - aliaksandrsiarohin/first-order-model
AliaksandrSiarohin/first-order-model
15,003Ver en GitHubThis project is a generative adversarial network designed for image animation and motion transfer. It functions as a computer vision framework that synthesizes video sequences by applying motion patterns extracted from a driving video onto a static source image. The model distinguishes itself by using a keypoint-based representation to decouple object appearance from temporal movement. By tracking structural deformations through learned latent coordinates, it performs motion retargeting and synthetic media production without requiring manual annotations or object-specific training data. The
Decouples object appearance from movement by tracking structural deformations through learned latent keypoints.
Jupyter Notebookdeep-learninggenerative-modelimage-animation
