Image Virtual Try-on on VITON-HD
0.047LPIPSIEC (Ours)
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| IEC (Ours)Training Protocol=Ours (SFT + RL Post-Training)2026.03 | 0.047 | — | — | 0.892 | — | — | — | — | 5.12 | 0.66 | — | |
| MagicTryOn2025.12 | 0.0477 | 8.036 | 1.235 | 0.8936 | 8.696 | 1.13 | — | — | — | — | — | |
| DirectTraining Protocol=Ours (SFT + RL Post-Training)2026.03 | 0.049 | — | — | 0.888 | — | — | — | — | 4.98 | 0.65 | — | |
| IEC w/o GCTraining Protocol=Ours (SFT + RL Post-Training)2026.03 | 0.052 | — | — | 0.875 | — | — | — | — | 5.19 | 0.66 | — | |
| RaRTraining Protocol=Ours (SFT + RL Post-Training)2026.03 | 0.055 | — | — | 0.878 | — | — | — | — | 5.21 | 0.69 | — | |
| KeyTailor2025.12 | 0.0566 | 5.293 | 0.72 | 0.9201 | 8.528 | 0.788 | — | — | — | — | — | |
| CatVTONTraining Protocol=SFT Methods2026.03 | 0.057 | — | — | 0.87 | — | — | — | — | 5.43 | 0.41 | — | |
| CatVT2ONTraining Protocol=SFT Methods2026.03 | 0.057 | — | — | 0.89 | — | — | — | — | 8.1 | 2.25 | — | |
| CatV2TON2025.12 | 0.0572 | 8.095 | 2.245 | 0.8902 | 11.222 | 2.986 | — | — | — | — | — | |
| GP-VTON2025.12 | 0.0585 | 8.726 | 3.944 | 0.8701 | 11.844 | 4.31 | — | — | — | — | — | |
| Baseline (SFT)Training Protocol=Ours (SFT + RL Post-Training)2026.03 | 0.059 | — | — | 0.872 | — | — | — | — | 5.49 | 0.82 | — | |
| OOTDiffusionTraining Protocol=SFT Methods2026.03 | 0.071 | — | — | 0.878 | — | — | — | — | 8.81 | 0.82 | — | |
| LaDI-VTON2025.12 | 0.0733 | 11.386 | 7.248 | 0.8603 | 14.648 | 8.754 | — | — | — | — | — | |
| IDM-VTON2026.04 | 0.077 | — | — | 0.849 | — | — | — | — | 9.115 | 0.471 | — | |
| IDM-VTON2025.12 | 0.0789 | 6.338 | 1.322 | 0.8806 | 9.611 | 1.639 | — | — | — | — | — | |
| CAT-DMTraining Protocol=SFT Methods2026.03 | 0.08 | — | — | 0.877 | — | — | — | — | 5.6 | 0.83 | — | |
| Fit-VTOvariant=Ours_ft_vitonhd, finetuning=VITON-HD training data2026.04 | 0.087 | — | — | 0.833 | — | — | — | — | 9.32 | 0.67 | — | |
| OOT Diffusion2025.12 | 0.0876 | 9.305 | 4.086 | 0.8187 | 12.408 | 4.689 | — | — | — | — | — | |
| MOBILE-VTONCategory=Mobile-side Mask-Free, Memory Usage(G)=2.84, On Mobile=true2026.03 | 0.088 | — | — | 0.893 | — | — | — | — | 10.211 | 2.023 | 0.833 | |
| CatVTON2025.12 | 0.0973 | 6.139 | 0.964 | 0.8691 | 9.143 | 1.267 | — | — | — | — | — | |
| IDM–VTONCategory=Server-side Mask-based, Memory Usage(G)=18.47, On Mobile=false2026.03 | 0.102 | — | — | 0.868 | — | — | — | — | 9.156 | 1.242 | 0.875 | |
| IDM-VTONTraining Protocol=SFT Methods2026.03 | 0.102 | — | — | 0.87 | — | — | — | — | 6.29 | — | — | |
| Fit-VTOvariant=Ours, mode=Full model2026.04 | 0.102 | — | — | 0.817 | — | — | — | — | 11.391 | 0.651 | — | |
| Fit-VTOvariant=Ours_no FIT, training_data=without FIT data, online fashion images only2026.04 | 0.103 | — | — | 0.817 | — | — | — | — | 11.499 | 0.639 | — | |
| SD-VITONCategory=Server-side Mask-based, On Mobile=false2026.03 | 0.104 | — | — | 0.89 | — | — | — | — | 9.857 | 1.45 | 0.831 | |
| BooW-VTONCategory=Server-side Mask-Free, Memory Usage(G)=18.47, On Mobile=false2026.03 | 0.107 | — | — | 0.864 | — | — | — | — | 9.036 | 1.011 | 0.852 | |
| Fit-VTOvariant=Ours_text, encoder=pre-trained T5 and CLIP text encoders2026.04 | 0.134 | — | — | 0.763 | — | — | — | — | 11.367 | 0.766 | — | |
| StableVITONCategory=Server-side Mask-based, Memory Usage(G)=13.84, On Mobile=false2026.03 | 0.142 | — | — | 0.875 | — | — | — | — | 9.371 | 1.99 | 0.838 | |
| OmniVTONTraining Protocol=SFT Methods2026.03 | 0.145 | — | — | 0.832 | — | — | — | — | 7.76 | — | — | |
| Any2AnyTryon2026.04 | 0.152 | — | — | 0.758 | — | — | — | — | 14.186 | 2.413 | — | |
| CatVTONCategory=Server-side Mask-Free, Memory Usage(G)=5.80, On Mobile=false2026.03 | 0.161 | — | — | 0.872 | — | — | — | — | 11.275 | 2.847 | 0.832 | |
| LaDI-VTONCategory=Server-side Mask-based, Memory Usage(G)=7.63, On Mobile=false2026.03 | 0.166 | — | — | 0.873 | — | — | — | — | 9.386 | 1.59 | 0.819 | |
| Fit-VTOvariant=Ours_FIT only, training_data=FIT data only2026.04 | 0.192 | — | — | 0.732 | — | — | — | — | 14.651 | 1.061 | — | |
| COTTON2026.04 | 0.349 | — | — | 0.615 | — | — | — | — | 39.117 | 11.397 | — | |
| Nano Banana Pro2026.04 | 0.501 | — | — | 0.552 | — | — | — | — | 11.344 | 0.624 | — | |
| One Model for AllSource=Reported results2025.05 | 22.5 | — | — | — | — | — | — | 19.2 | 9.12 | 1.49 | — | |
| TEMU-VTOFF2025.05 | 28.44 | — | — | 0.7721 | — | — | 13.38 | 18.04 | 8.71 | 1.11 | — | |
| TryOffAnyone2025.05 | 35.26 | — | — | 0.759 | — | — | 12 | 23.47 | 12.74 | 2.85 | — | |
| MGTSource=Reported results2025.05 | 36.3 | — | — | 0.781 | — | — | — | 24.7 | 21.9 | 8.9 | — | |
| Any2AnyTryon2025.05 | 37.95 | — | — | 0.7572 | — | — | 12 | 24.32 | 12.88 | 3.01 | — | |
| TryOffDiff2025.05 | 39.56 | — | — | 0.7553 | — | — | 11.65 | 25.53 | 17.49 | 5.3 | — | |
| VoostSource=Reported results2025.05 | — | — | — | — | — | — | — | — | 10.06 | 2.48 | — |