Image Animation

15 papers with code • 0 benchmarks • 0 datasets

Image Animation is a field for image-animation of a source image by a driving video

Most implemented papers

First Order Motion Model for Image Animation

AliaksandrSiarohin/first-order-model NeurIPS 2019

To achieve this, we decouple appearance and motion information using a self-supervised formulation.

Image Animation with Perturbed Masks

itsyoavshalev/Image-Animation-with-Perturbed-Masks CVPR 2022

We present a novel approach for image-animation of a source image by a driving video, both depicting the same type of object.

Animating Arbitrary Objects via Deep Motion Transfer

AliaksandrSiarohin/monkey-net CVPR 2019

This is achieved through a deep architecture that decouples appearance and motion information.

Creative Flow+ Dataset

creativefloworg/creativeflow CVPR 2019

We present the Creative Flow+ Dataset, the first diverse multi-style artistic video dataset richly labeled with per-pixel optical flow, occlusions, correspondences, segmentation labels, normals, and depth.

Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation

RenYurui/Global-Flow-Local-Attention 27 Aug 2020

We show that our framework can spatially transform the inputs in an efficient manner.

Ultra-low bitrate video conferencing using deep image animation

Goluck-Konuko/deep_animation_codec 1 Dec 2020

In this work we propose a novel deep learning approach for ultra-low bitrate video compression for video conferencing applications.

PriorityCut: Occlusion-guided Regularization for Warp-based Image Animation

deepbrainai-research/prioritycut 22 Mar 2021

State-of-the-art self-supervised image animation approaches warp the source image according to the motion of the driving video and recover the warping artifacts by inpainting.

DeepFake MNIST+: A DeepFake Facial Animation Dataset

huangjiadidi/DeepFakeMnist 18 Aug 2021

It includes 10, 000 facial animation videos in ten different actions, which can spoof the recent liveness detectors.

Latent Image Animator: Learning to animate image via latent space navigation

wyhsirius/LIA ICLR 2022

Deviating from such models, we here introduce Latent Image Animator (LIA), a self-supervised auto-encoder that evades need for structure representation.

Neural Fields in Visual Computing and Beyond

nvidiagameworks/kaolin-wisp 22 Nov 2021

Recent advances in machine learning have created increasing interest in solving visual computing problems using a class of coordinate-based neural networks that parametrize physical properties of scenes or objects across space and time.