Pose Transfer On Deep Fashion
평가 지표
IS
SSIM
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | IS | SSIM | Paper Title | Repository |
|---|---|---|---|---|
| ADGAN | 3.364 | 0.772 | Controllable Person Image Synthesis with Attribute-Decomposed GAN | |
| UPGPT | - | - | UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer | |
| Disentangled PG | 3.228 | 0.614 | Disentangled Person Image Generation | |
| PG Squared | 3.090 | 0.762 | Pose Guided Person Image Generation | |
| Deformable GAN | 3.439 | 0.756 | Deformable GANs for Pose-based Human Image Generation | |
| DiOr | - | 0.806 | Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing | |
| bFT | 3.22 | 0.767 | Guided Image-to-Image Translation with Bi-Directional Feature Transformation | |
| Progressive Pose Attention | 3.209 | 0.773 | Progressive Pose Attention Transfer for Person Image Generation | |
| Leffa | - | - | Learning Flow Fields in Attention for Controllable Person Image Generation | |
| RATE | 3.125 | 0.774 | Region-adaptive Texture Enhancement for Detailed Person Image Synthesis | |
| XingGAN | 3.476 | 0.778 | XingGAN for Person Image Generation | |
| BiGraphGAN | 3.430 | 0.778 | Bipartite Graph Reasoning GANs for Person Image Generation |
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