2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021
DOI: 10.1109/cvpr46437.2021.00513
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Understanding Object Dynamics for Interactive Image-to-Video Synthesis

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Cited by 11 publications
(13 citation statements)
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“…These methods [4,12,15,15,16,31] generate a video from a single still image automatically and thus do not allow the user interaction to control the animation. Different from the above set of works, [1,2,5,6,10,11] allow the users to interact and control the movement in the animation to varying degrees, and hence are more closely related to the current work. Dorkenwald et al [5] propose a oneto-one mapping between image and video using a residual representation, that allows the user to provide a single direction of motion for video generation.…”
Section: Related Workmentioning
confidence: 99%
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“…These methods [4,12,15,15,16,31] generate a video from a single still image automatically and thus do not allow the user interaction to control the animation. Different from the above set of works, [1,2,5,6,10,11] allow the users to interact and control the movement in the animation to varying degrees, and hence are more closely related to the current work. Dorkenwald et al [5] propose a oneto-one mapping between image and video using a residual representation, that allows the user to provide a single direction of motion for video generation.…”
Section: Related Workmentioning
confidence: 99%
“…Dorkenwald et al [5] propose a oneto-one mapping between image and video using a residual representation, that allows the user to provide a single direction of motion for video generation. [1] and [2] propose methods that govern the animation of different parts in the image with a single poke at a particular location defined by the start and end location of the motion. However, these methods [1,2,5] are unsuitable for our problem that necessitates the use of a sparse set of input directions and speeds at arbitrary locations.…”
Section: Related Workmentioning
confidence: 99%
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