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Animation intermediate picture intelligent generation method and system based on visual communication

A visual and animation technology, applied in the field of artificial intelligence and animation production, can solve problems such as not taking into account the guidance information of the painter's track, consuming manpower and material resources, and large engineering volume

Active Publication Date: 2021-09-14
HUANGHUAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Traditional animation production usually requires an animation illustrator to draw the in-between and insert it into the corresponding position of the track. In the animation production process, the production of the in-between often requires a large amount of engineering. High, but very labor-intensive
The intelligent generation of conventional animation inbetweens is only suitable for the generation of intermediate frames of basic shapes such as circles and squares, and it is difficult to automatically generate intermediate frames for complex structures or scenes
[0003] In the prior art, the method (CN101436310B) for the automatic generation of intermediate frames in the two-dimensional animation production process proposes a method for generating animation intermediate frames based on region division, feature point matching and Bezier curve interpolation. Track Guidance Information

Method used

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  • Animation intermediate picture intelligent generation method and system based on visual communication

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Embodiment 1

[0024] This embodiment provides a method for intelligently generating animation intermediate pictures based on visual communication.

[0025] The specific scene targeted by the present invention is: the scene of intelligent generation of the intermediate painting, the key sheets required for the generation of the intermediate painting have been acquired, located on different layers, and the positions of the drawings are consistent when acquired; the key sheets include original paintings, small original paintings, key sheets, etc. The sketch used to guide the generation of the intermediate painting, by default, there is no noise on the key sheet, that is, there are no lines or points unrelated to the original painting and the track caused by the artist's personal habits or the artist's misoperation; there is track information on the sketch, and the track The information is guaranteed to be in a basic format, but the track information is not required to be in a uniform format.

...

Embodiment 2

[0072] The specific scene targeted by the present invention is: the scene of intelligent generation of the intermediate painting, the key sheets required for the generation of the intermediate painting have been obtained, are located on different layers, and the positions of the drawings are consistent when acquired; the key sheets include original paintings, small original paintings, key sheets, etc. The sketch used to guide the generation of the intermediate painting, by default, there is no noise on the key sheet, that is, there is no line or point unrelated to the original painting and the track caused by the artist's personal habits or the artist's misoperation; there is track information on the sketch, and the track The information is guaranteed to be in a basic format, but the track information is not required to be in a uniform format.

[0073] The intelligent generation system of animation intermediate pictures based on visual communication includes:

[0074] The true...

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Abstract

The invention discloses an animation intermediate picture intelligent generation method and system based on visual communication. The method comprises the following steps: extracting orbital information points from an orbital image by using an orbital template, and determining page identifiers and categories of the orbital information points according to the distribution of the orbital information points to obtain true orbital information; inputting the first key sheet, the second key sheet, the true value track information and the true value track target information into an intermediate picture bidirectional generation neural network to obtain a first intermediate picture and a second intermediate picture; and respectively performing bidirectional prediction according to a sliding window mechanism, and finally obtaining all intermediate pictures meeting orbital information requirements under the supervision of an intermediate picture bidirectional generation neural network loss function. Compared with the prior art, the method can achieve the intelligent generation of the animation intermediate picture in a complex scene, greatly reduces the calculation amount of a machine, improves the generation quality of the intermediate picture while reducing the production cost of the animation intermediate picture, and improves the satisfaction degree of a painter.

Description

technical field [0001] The invention relates to the fields of artificial intelligence and animation production, in particular to a method and system for intelligently generating animation intermediate pictures based on visual communication. Background technique [0002] Traditional animation production usually requires an animation illustrator to draw the intermediate picture and insert it into the corresponding position of the track. In the animation production process, the production of the intermediate picture often requires a large amount of engineering. High, but very labor-intensive. The intelligent generation of intermediate pictures in conventional animations is only applicable to the generation of intermediate frames of basic shapes such as circles and squares, and it is difficult to automatically generate intermediate frames for complex structures or scenes. [0003] In the prior art, a method for automatically generating intermediate frames in a two-dimensional a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T13/80
CPCG06T13/80
Inventor 许碧薇张莹
Owner HUANGHUAI UNIV
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