Image Animation with Keypoint Mask
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Abstract (arXiv)
Motion transfer is the task of synthesizing future video frames of a single source image according to the motion from a given driving video. In order to solve it, we face the challenging complexity of motion representation and the unknown relations between the driving video and the source image. Despite its difficulty, this problem attracted great interests from researches at the recent years, with gradual improvements. The goal is often thought as the decoupling of motion and appearance, which is may be solved by extracting the motion from keypoint movement. We chose to tackle the generic, unsupervised setting, where we need to apply animation to any arbitrary object, without any domain specific model for the structure of the input. In this work, we extract the structure from a keypoint heatmap, without an explicit motion representation. Then, the structures from the image and the video are extracted to warp the image according to the video, by a deep generator. We suggest two variants of the structure from different steps in the keypoint module, and show superior qualitative pose and quantitative scores.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 18 of its 21 references that are in the map. First posted on arXiv 20 Dec 2021.
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18 of 21 references.
References · 18
- 2015Deep Residual Learning for Image Recognitioncited by 52,096
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- 2016Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,064
- 2016Stacked Hourglass Networks for Human Pose Estimationcited by 915
- 2020First Order Motion Model for Image Animationcited by 704
- 2017MoCoGAN: Decomposing Motion and Content for Video Generationcited by 524
- 2018Video-to-Video Synthesiscited by 390
- 2018Everybody Dance Nowcited by 315
- 2017Pose Guided Person Image Generationcited by 251
- 2019Joint Discriminative and Generative Learning for Person Re-identificationcited by 213
- 2018Animating Arbitrary Objects via Deep Motion Transfercited by 208
6 more
- 2018Synthesizing Images of Humans in Unseen Posescited by 97
- 2017Learning to Generate Long-term Future via Hierarchical Predictioncited by 88
- 2019TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translationcited by 40
- 2019Unsupervised Keypoint Learning for Guiding Class-Conditional Video Predictioncited by 36
- 2019Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translationcited by 8
- 2020Image Animation with Perturbed Maskscited by 8
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