3D Whole-Body Mesh Recovery on AGORA (test)
81.2NMVEHybrIK
Evaluation results
| Method | Links | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| HybrIK2023.04 | 81.2 | — | 84.6 | 73.9 | 77 | — | — | — | — | — | — | — | — | — | — | |
| CLIFF2023.04 | 83.5 | — | 89 | 76 | 81 | — | — | — | — | — | — | — | — | — | — | |
| Hand4Whole2023.04 | 90.2 | — | 95.5 | 84.8 | 89.8 | — | — | — | — | — | — | — | — | — | — | |
| SMPLer-X-L20backbone=ViT-L, number_of_datasets=20, finetuned=true2023.09 | 107.2 | 104.1 | — | 99.7 | 96.8 | 68.3 | 66.3 | 63.5 | 29.9 | 39.1 | 39.5 | 61.7 | 31.4 | 36.7 | 37.2 | |
| BEV2023.04 | 108.3 | — | 113.2 | 100.7 | 105.3 | — | — | — | — | — | — | — | — | — | — | |
| ROMP2023.04 | 113.6 | — | 118.8 | 103.4 | 108.1 | — | — | — | — | — | — | — | — | — | — | |
| HybrIK-Xfinetuned=false2023.09 | 120.5 | 115.7 | — | 112.1 | 107.6 | 73.7 | 72.3 | 68.5 | 37 | 46.7 | 47 | 67.2 | 38.5 | 41.2 | 41.4 | |
| SMPLer-X-L32backbone=ViT-L, number_of_datasets=322023.09 | 122.8 | 119.1 | — | 114.2 | 110.8 | 80.3 | 77.6 | 74.7 | 35.1 | 41.3 | 42.2 | 72.2 | 36.7 | 39.1 | 40.1 | |
| SMPLer-X-L20backbone=ViT-L, number_of_datasets=202023.09 | 123.1 | 120.9 | — | 123.8 | 119.9 | 88.1 | 84.6 | 81.9 | 37.4 | 43.6 | 44.8 | 78.7 | 39.5 | 41.4 | 44.8 | |
| SPEC2023.04 | 126.8 | — | 133.7 | 106.5 | 112.3 | — | — | — | — | — | — | — | — | — | — | |
| OSXtrained_on_agora_only=true2023.09 | 130.6 | 127.6 | — | 122.8 | 119.9 | 85.3 | 83.3 | 80.2 | 36.2 | 45.4 | 46.1 | 78.3 | 37.9 | 43 | 43.9 | |
| BEDLAMfinetuned=false2023.09 | 139.5 | 137.5 | — | 111.9 | 129.6 | 132.2 | 131.4 | 96.5 | 25.8 | 38.8 | 39 | 95.9 | 27.8 | 36.6 | 36.7 | |
| PyMaF-Xfinetuned=true2023.09 | 141.2 | 140 | — | 125.7 | 124.6 | 94.4 | 93.5 | 84 | 35 | 44.6 | 45.6 | 83.2 | 37.9 | 42.5 | 43.7 | |
| BEDLAMfinetuned=true2023.09 | 142.2 | 141 | — | 103.8 | 102.9 | 102.1 | 101.8 | 74.5 | 23.1 | 31.7 | 33.2 | 74.3 | 24.7 | 29.9 | 31.3 | |
| Hand4Wholefinetuned=true2023.09 | 144.1 | 141.1 | — | 135.5 | 132.6 | 96 | 92.7 | 90.2 | 41.6 | 46.3 | 48.1 | 87.1 | 46.1 | 44.3 | 46.2 | |
| PARE2023.04 | 167.7 | — | 174 | 140.9 | 146.2 | — | — | — | — | — | — | — | — | — | — | |
| SPIN2023.04 | 193.4 | — | 199.2 | 148.9 | 153.4 | — | — | — | — | — | — | — | — | — | — | |
| EFT2023.04 | 196.3 | — | 203.6 | 159 | 165.4 | — | — | — | — | — | — | — | — | — | — | |
| PyMAF2023.04 | 200.2 | — | 207.4 | 168.2 | 174.2 | — | — | — | — | — | — | — | — | — | — | |
| HMR2023.04 | 217 | — | 226 | 173.6 | 180.5 | — | — | — | — | — | — | — | — | — | — | |
| ExPoseInference Time=120.2 ms, Parameters=135.8 M, FLOPs=28.5 G2023.03 | — | 263.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| H4WInference Time=73.3 ms, Parameters=77.9 M, FLOPs=16.7 G2023.03 | — | 141.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OSXInference Time=54.6 ms, Parameters=102.9 M, FLOPs=25.3 G2023.03 | — | 127.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PIXIEInference Time=192.0 ms, Parameters=192.9 M, FLOPs=34.3 G2023.03 | — | 230.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PyMAF-XInference Time=209.3 ms, Parameters=205.9 M, FLOPs=35.5 G2023.03 | — | 140 | — | — | — | — | — | — | — | — | — | — | — | — | — |