yoyo-nb/Thin-Plate-Spline-Motion-Model
[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.
Leverages thin-plate spline warping to model dense motion fields between keypoints, enabling flexible pose-driven animation across diverse datasets (VoxCeleb, TaiChiHD, TED-talks). Built on PyTorch with multi-GPU training support, includes an optional Appearance-Variation Decoder (AVD) network for handling appearance changes. Deployable via Hugging Face Spaces, Replicate, and Google Colab with pre-trained checkpoints across multiple mirrors.
3,599 stars. No commits in the last 6 months.
Stars
3,599
Forks
562
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 10, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/yoyo-nb/Thin-Plate-Spline-Motion-Model"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
AliaksandrSiarohin/first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
kenziyuliu/MS-G3D
[CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for...
sergeytulyakov/mocogan
MoCoGAN: Decomposing Motion and Content for Video Generation
DK-Jang/motion_puzzle
Motion Puzzle - Official PyTorch implementation
paulstarke/PhaseBetweener
Creating animation sequences between sparse key frames using motion phase features.