Research map / 3D vision / Face and shape
Learning to Dress 3D People in Generative Clothing
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use CAPE instead of PCA for clothing displacement reconstruction | CAPE · CAPE male test set | per-vertex error mean (mm): 5.65 ± 4.81 -> 5.54 ± 5.09 | Helped |
| Use CAPE instead of CoMA-1 for clothing displacement reconstruction | CAPE · CAPE female test set | per-vertex error mean (mm): 4.69 ± 3.85 -> 4.21 ± 3.76 | Helped |
| Add clothing modeling with CAPE to SMPLify fitting | SMPLify · CAPE rendered test examples | vertex MSE (m): 0.0223 -> 0.0189 | Helped |
| Add the discriminator (ablation) | CAPE · CAPE male test set | per-vertex error mean (mm): 5.65 ± 5.18 -> 5.54 ± 5.09 | Helped |
| Add the discriminator (ablation) | CAPE · CAPE female test set | per-vertex error mean (mm): 4.31 ± 3.78 -> 4.21 ± 3.76 | Helped |
| Add the residual block (ablation) | CAPE · CAPE male test set | per-vertex error mean (mm): 5.60 ± 5.21 -> 5.54 ± 5.09 | Helped |
| Add the residual block (ablation) | CAPE · CAPE female test set | per-vertex error mean (mm): 4.27 ± 3.76 -> 4.21 ± 3.76 | Helped |
| Add edge loss (ablation) | CAPE · CAPE male test set | per-vertex error mean (mm): 5.93 ± 5.40 -> 5.54 ± 5.09 | Helped |
| Add edge loss (ablation) | CAPE · CAPE female test set | per-vertex error mean (mm): 4.32 ± 3.78 -> 4.21 ± 3.76 | Helped |
Closest papers by meaning
- SMPLicit: Topology-Aware Generative Model for Clothed People (CVPR 2021 · similarity 0.93)
- SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes (CVPR 2024 · similarity 0.92)
- FreeCloth: Free-form Generation Enhances Challenging Clothed Human Modeling (CVPR 2025 · similarity 0.90)
- Design2Cloth: 3D Cloth Generation from 2D Masks (CVPR 2024 · similarity 0.89)
- VS: Reconstructing Clothed 3D Human from Single Image via Vertex Shift (CVPR 2024 · similarity 0.89)
- 4D-DRESS: A 4D Dataset of Real-World Human Clothing With Semantic Annotations (CVPR 2024 · similarity 0.88)
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