公开(公告)号：US10789754B2

公开(公告)日：2020-09-29

申请号：US16047839

申请日：2018-07-27

申请人： Adobe Inc. ,  Czech Technical University in Prague

发明人： Vladimir Kim ,  Wilmot Li ,  Marek Dvoro{hacek over (z)}{hacek over (n)}ák ,  Daniel Sýkora

IPC分类号： G06T13/80 ,  G06T13/40

摘要： This disclosure relates to methods, non-transitory computer readable media, and systems that use style-aware puppets patterned after a source-character-animation sequence to generate a target-character-animation sequence. In particular, the disclosed systems can generate style-aware puppets based on an animation character drawn or otherwise created (e.g., by an artist) for the source-character-animation sequence. The style-aware puppets can include, for instance, a character-deformational model, a skeletal-difference map, and a visual-texture representation of an animation character from a source-character-animation sequence. By using style-aware puppets, the disclosed systems can both preserve and transfer a detailed visual appearance and stylized motion of an animation character from a source-character-animation sequence to a target-character-animation sequence.

公开(公告)号：US12056849B2

公开(公告)日：2024-08-06

申请号：US17466711

申请日：2021-09-03

申请人： Adobe Inc. ,  Czech Technical University in Prague

发明人： Michal Lukác ,  Daniel Sýkora ,  David Futschik ,  Zhaowen Wang ,  Elya Shechtman

IPC分类号： G06T5/50 ,  G06F18/214

CPC分类号： G06T5/50 ,  G06F18/214 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/20084

摘要： Embodiments are disclosed for translating an image from a source visual domain to a target visual domain. In particular, in one or more embodiments, the disclosed systems and methods comprise a training process that includes receiving a training input including a pair of keyframes and an unpaired image. The pair of keyframes represent a visual translation from a first version of an image in a source visual domain to a second version of the image in a target visual domain. The one or more embodiments further include sending the pair of keyframes and the unpaired image to an image translation network to generate a first training image and a second training image. The one or more embodiments further include training the image translation network to translate images from the source visual domain to the target visual domain based on a calculated loss using the first and second training images.

公开(公告)号：US20200035010A1

公开(公告)日：2020-01-30

申请号：US16047839

申请日：2018-07-27

申请人： Adobe Inc. ,  Czech Technical University in Prague

发明人： Vladimir Kim ,  Wilmot Li ,  Marek Dvoroznák ,  Daniel Sýkora

IPC分类号： G06T13/80 ,  G06T13/40

摘要： This disclosure relates to methods, non-transitory computer readable media, and systems that use style-aware puppets patterned after a source-character-animation sequence to generate a target-character-animation sequence. In particular, the disclosed systems can generate style-aware puppets based on an animation character drawn or otherwise created (e.g., by an artist) for the source-character-animation sequence. The style-aware puppets can include, for instance, a character-deformational model, a skeletal-difference map, and a visual-texture representation of an animation character from a source-character-animation sequence. By using style-aware puppets, the disclosed systems can both preserve and transfer a detailed visual appearance and stylized motion of an animation character from a source-character-animation sequence to a target-character-animation sequence.