Papers › First Order Motion Model for Image Animation

First Order Motion Model for Image Animation

29 Feb 2020NeurIPS 2019 12arXiv:2003.00196archive 2025-07-28

Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe

Image animation consists of generating a video sequence so that an object in a source image is animated according to the motion of a driving video. Our framework addresses this problem without using any annotation or prior information about the specific object to animate. Once trained on a set of videos depicting objects of the same category (e.g. faces, human bodies), our method can be applied to any object of this class. To achieve this, we decouple appearance and motion information using a self-supervised formulation. To support complex motions, we use a representation consisting of a set of learned keypoints along with their local affine transformations. A generator network models occlusions arising during target motions and combines the appearance extracted from the source image and the motion derived from the driving video. Our framework scores best on diverse benchmarks and on a variety of object categories. Our source code is publicly available.

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AliaksandrSiarohin/first-order-model officialmentioned in paperpytorch report
xih108/Video_Completion mentioned on GitHubpytorch report

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kp2gaussian AliaksandrSiarohin/first-order-model/modules/dense_motion.py official repository ran · fixture could not drive it MIT (permissive) · e136efdcba23139b · report
make_coordinate_grid AliaksandrSiarohin/first-order-model/modules/dense_motion.py official repository ran · fixture could not drive it MIT (permissive) · fe3cbec3030f03b9 · report
AntiAliasInterpolation2d AliaksandrSiarohin/first-order-model/modules/dense_motion.py official repository unverified MIT (permissive) · edb6dfe56cd0b289 · report
Decoder AliaksandrSiarohin/first-order-model/modules/dense_motion.py official repository unverified MIT (permissive) · 9eb5832abf4b62e6 · report
DenseMotionNetwork AliaksandrSiarohin/first-order-model/modules/dense_motion.py official repository unverified MIT (permissive) · f6cf0fcc857e8ebe · report
DownBlock2d AliaksandrSiarohin/first-order-model/modules/dense_motion.py official repository unverified MIT (permissive) · c7c16f0f3d5ecdfb · report
Encoder AliaksandrSiarohin/first-order-model/modules/dense_motion.py official repository unverified MIT (permissive) · b03fc15ff72def85 · report
Hourglass AliaksandrSiarohin/first-order-model/modules/dense_motion.py official repository unverified MIT (permissive) · de1c6f08275d28ed · report
UpBlock2d AliaksandrSiarohin/first-order-model/modules/dense_motion.py official repository unverified MIT (permissive) · 639ec175e8e81a68 · report
KeypointBasedTransform abhaskumarsinha/KMT/src/models/generator.py community (archive-listed) unverified MIT (permissive) · 7296b7ae122b4252 · report

Tasks

Image AnimationObjectVideo Reconstructionmodel

Datasets

Introduced by this paper, per the archive.

Tai-Chi-HD

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Video Reconstruction Tai-Chi-HD First Order Motion L1 0.063 #1 of 1 Archive leaderboard report

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