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Deep Learning-based 3D Reconstruction and Simulation Technology for Cheongsam and Hanbok

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22 sept. 2025
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Figure 1.

Flowchart of garment reconstruction algorithm
Flowchart of garment reconstruction algorithm

Figure 2.

The results of the IOU calculation
The results of the IOU calculation

Figure 3.

The results of the Chamfer – L1 calculation
The results of the Chamfer – L1 calculation

Figure 4.

The results of the Normal-Consistency calculation
The results of the Normal-Consistency calculation

Figure 5.

The results of the F-score calculation
The results of the F-score calculation

Figure 6.

Network structure
Network structure

Loss of our method and PCA on train set and evaluation set

Animation sequence PCA Ours
Total error Vertex error δ error Total error Vertex error δ 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