3D Human Reconstruction on CAPE
0.6784Chamfer Dist.HiLo
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| HiLo2024.04 | 0.6784 | 0.658 | 0.048 | — | — | — | |
| HiLoTraining Dataset=Thuman2.0, Evaluation Setting=Unseen2024.04 | 0.743 | 0.7428 | 0.0499 | — | — | — | |
| HiLoTraining Dataset=CAPE, Evaluation Setting=Seen2024.04 | 0.7861 | 0.7729 | 0.0544 | — | — | — | |
| HiLo w/o H(s;β)Training Dataset=CAPE, Evaluation Setting=Seen2024.04 | 0.7971 | 0.7999 | 0.0551 | — | — | — | |
| HiLo w/o ϕ_iTraining Dataset=CAPE, Evaluation Setting=Seen2024.04 | 0.7999 | 0.7948 | 0.0547 | — | — | — | |
| ICONTraining Dataset=Thuman2.0, Evaluation Setting=Unseen2024.04 | 0.8055 | 0.8084 | 0.0539 | — | — | — | |
| HiLo w/o H(s;β)Training Dataset=Thuman2.0, Evaluation Setting=Unseen2024.04 | 0.8118 | 0.8045 | 0.0547 | — | — | — | |
| HiLo w/o H(s;β) w/o ϕ_siTraining Dataset=CAPE, Evaluation Setting=Seen2024.04 | 0.8125 | 0.8224 | 0.0588 | — | — | — | |
| ICON2024.04 | 0.8198 | 0.7799 | 0.0617 | — | — | — | |
| D-IFTraining Dataset=CAPE, Evaluation Setting=Seen2024.04 | 0.8332 | 0.8489 | 0.0597 | — | — | — | |
| HiLo w/o ϕ_iTraining Dataset=Thuman2.0, Evaluation Setting=Unseen2024.04 | 0.8555 | 0.8449 | 0.0468 | — | — | — | |
| ICONTraining Dataset=CAPE, Evaluation Setting=Seen2024.04 | 0.861 | 0.8878 | 0.0606 | — | — | — | |
| D-IFTraining Dataset=Thuman2.0, Evaluation Setting=Unseen2024.04 | 0.8878 | 0.8574 | 0.0589 | — | — | — | |
| ECON2024.04 | 0.9083 | 0.8701 | 0.0723 | — | — | — | |
| D-IF2024.04 | 0.9111 | 0.8751 | 0.0666 | — | — | — | |
| HiLo w/o H(s;β) w/o ϕ_siTraining Dataset=Thuman2.0, Evaluation Setting=Unseen2024.04 | 0.9362 | 0.972 | 0.069 | — | — | — | |
| PaMIRTraining Dataset=CAPE, Evaluation Setting=Seen2024.04 | 0.9539 | 0.9444 | 0.0659 | — | — | — | |
| PaMIR2024.04 | 0.98 | 1.0132 | 0.0714 | — | — | — | |
| ECONTraining Dataset=Thuman2.0, Evaluation Setting=Unseen2024.04 | 0.9872 | 0.9521 | 0.0414 | — | — | — | |
| ICONSMPL-X condition=GT2021.12 | 1.142 | 1.065 | 0.066 | — | — | — | |
| ICON_{N†}SMPL-X condition=GT2021.12 | 1.156 | 1.14 | 0.064 | — | — | — | |
| SMPL-X GTSMPL-X condition=N/A2021.12 | 1.158 | 1.125 | 0.074 | — | — | — | |
| ICON_{enc(Ne)}SMPL-X condition=GT2021.12 | 1.187 | 1.11 | 0.06 | — | — | — | |
| ICON w/o F_bSMPL-X condition=GT2021.12 | 1.235 | 1.227 | 0.067 | — | — | — | |
| ICON_{enc(I, Ne)}SMPL-X condition=GT2021.12 | 1.25 | 1.229 | 0.061 | — | — | — | |
| ICON + BRSMPL-X condition=GT2021.12 | 1.339 | 1.378 | 0.072 | — | — | — | |
| PaMIR*SMPL-X condition=GT2021.12 | 1.35 | 1.283 | 0.06 | — | — | — | |
| PaMIRTraining Dataset=Thuman2.0, Evaluation Setting=Unseen2024.04 | 1.35 | 1.283 | 0.06 | — | — | — | |
| ICONSMPL-X condition=perturbed2021.12 | 1.417 | 1.436 | 0.082 | — | — | — | |
| SMPL-X perturbedSMPL-X condition=N/A2021.12 | 1.491 | 1.533 | 0.097 | — | — | — | |
| PaMIR*SMPL-X condition=perturbed2021.12 | 1.738 | 1.718 | 0.077 | — | — | — | |
| PaMIRSMPL-X condition=GT2021.12 | 2.122 | 1.495 | 0.088 | — | — | — | |
| MuNetSMPL(-X) Estimator=—2026.05 | 2.43 | 2.393 | — | 2.467 | 0.1732 | 0.3247 | |
| PIFu*SMPL-X condition=None2021.12 | 2.682 | 2.658 | 0.104 | — | — | — | |
| PIFuTraining Dataset=Thuman2.0, Evaluation Setting=Unseen2024.04 | 2.682 | 2.658 | 0.104 | — | — | — | |
| ECONSMPL(-X) Estimator=PyMAF-X [1]2026.05 | 2.751 | 2.161 | — | 3.342 | 0.1774 | 0.3931 | |
| PIFuHDSMPL-X condition=None2021.12 | 3.237 | 3.123 | 0.112 | — | — | — | |
| PIFuHDTraining Dataset=Thuman2.0, Evaluation Setting=Unseen2024.04 | 3.237 | 3.123 | 0.112 | — | — | — | |
| PIFuSMPL-X condition=None2021.12 | 3.627 | 3.729 | 0.116 | — | — | — | |
| ICONSMPL(-X) Estimator=PyMAF [2]2026.05 | 3.727 | 2.218 | — | 5.236 | 0.1886 | 0.6331 | |
| SIFUSMPL(-X) Estimator=PyMAF [2]2026.05 | 3.78 | 2.832 | — | 4.729 | 0.2237 | 0.7367 | |
| PIFu2024.04 | 4.055 | 3.3971 | 0.1915 | — | — | — | |
| D-IFSMPL(-X) Estimator=PyMAF [2]2026.05 | 4.139 | 2.152 | — | 6.128 | 0.1877 | 0.6281 | |
| VSSMPL(-X) Estimator=PyMAF-X [1]2026.05 | 4.348 | 2.944 | — | 5.752 | 0.2461 | 0.517 | |
| PIFuHD2024.04 | 6.1345 | 5.2692 | 0.2017 | — | — | — | |
| PaMIRSMPL(-X) Estimator=GCMR [6]2026.05 | 6.352 | 4.165 | — | 8.538 | 0.3276 | 0.6569 | |
| PIFuTraining Dataset=CAPE, Evaluation Setting=Seen2024.04 | 7.1244 | 2.7633 | 0.3902 | — | — | — |