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Automatic Generation of Cinematic Animated Characters and Their Behavioral Characterization Using Graph Generation Networks

Wei Peng

Wei Peng

  • Cheongju UniversitySouth Korea
  • Commerce Boustead College, Tianjin UniversityTianjin, China
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Peng, Wei
 y 
Qingya Zhang

Qingya Zhang

Commerce Boustead College, Tianjin UniversityTianjin, China
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Zhang, Qingya
  
17 mar 2025
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Publicado en línea: 17 mar 2025
Recibido: 16 oct 2024
Aceptado: 31 ene 2025
DOI: https://doi.org/10.2478/amns-2025-0268
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© 2025 Wei Peng et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Animation design process evolution
Animation design process evolution

Figure 2.

The production and creation process of the artist
The production and creation process of the artist

Figure 3.

Comparison result(MMD)
Comparison result(MMD)

Figure 4.

Usability test results
Usability test results

Figure 5.

Training results
Training results

Figure 6.

Conventional score test results
Conventional score test results

Model test results

Model COKK
Degree Clustering Orbit
GAN 0.315 0.274 0.105
CGAN 0.275 0.244 0.078
ACGAN 0.189 0.201 0.065
Ours 0.178 0.185 0.076

The result of the abnormal behavior recognition of the artist

The action of the artist Video number Correct detection Error detection Accuracy(%)
M1 354 344 10 97.18
M2 546 527 19 96.52
M3 482 470 12 97.51
M4 337 323 14 95.85
Mean — 416 13.75 96.76
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Temas de la revista:
Ciencias de la vida, Ciencias de la vida, otros, Matemáticas, Matemáticas aplicadas, Matemáticas generales, Física, Física, otros
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