Deep Learning-based 3D Reconstruction and Simulation Technology for Cheongsam and Hanbok
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22. Sept. 2025
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Online veröffentlicht: 22. Sept. 2025
Eingereicht: 22. Jan. 2025
Akzeptiert: 07. Mai 2025
DOI: https://doi.org/10.2478/amns-2025-0965
Schlüsselwörter
© 2025 Li’na Zhao et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Loss of our method and PCA on train set and evaluation set
| Animation sequence | PCA | Ours | ||||
|---|---|---|---|---|---|---|
| Total error | Vertex error | Total error | Vertex error | |||
| T_Walking | 0.547 | 0.015 | 0.532 | 0.0583 | 0.0155 | 0.0428 |
| T_Dancing | 0.305 | 0.013 | 0.292 | 0.0292 | 0.0049 | 0.0243 |
| T_Capoeira | 0.170 | 0.017 | 0.153 | 0.0416 | 0.0100 | 0.0316 |
| T_Fighting | 0.362 | 0.021 | 0.341 | 0.0481 | 0.0162 | 0.0319 |
| T_Dancing2 | 0.330 | 0.001 | 0.329 | 0.0144 | 0.0053 | 0.0091 |
| T_Hip Hop | 0.203 | 0.005 | 0.198 | 0.0392 | 0.0158 | 0.0234 |
| E_Running2 | 0.153 | 0.002 | 0.152 | 0.0880 | 0.0138 | 0.0742 |
| E_Salsa | 0.207 | 0.002 | 0.204 | 0.0859 | 0.0069 | 0.0790 |
| Mean | 0.29370 | 0.01230 | 0.28141 | 0.05059 | 0.01105 | 0.03954 |
Time consumption of our method and PBD
| Animation name | Ours(ms/frame) | PBD(ms/frame) | |
|---|---|---|---|
| Walking | S=256 | 6.55 | 318 |
| S=80 | 4.23 | ||
| Capoeira | S=256 | 6.34 | 348.3 |
| S=80 | 4.85 | ||
| Rumba Dancing | S=256 | 6.18 | 326.7 |
| S=80 | 4.68 | ||