| User | sp9103 |
|---|---|
| Publication | Nguyen et al.: GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence, CVPR 2024. |
| Implementation | https://github.com/nv-nguyen/gigapose |
| Implementation | https://github.com/nv-nguyen/gigapose |
| Views | single |
| Test image modalities | RGB |
| Description | GigaPose (Nguyen et al., CVPR 2024) is a "hybrid" template-patch correspondence approach to estimate 6D pose of novel objects in RGB images: GigaPose first uses 162 templates, rendered images of the CAD models, to recover the out-of-plane rotation (2DoF) and then uses patch correspondences to estimate the remaining 4DoF. Detection method : CNOS-FastSAM |
| Computer specifications | RTX 3090Ti |
| Date | Submission name | Dataset | ||
|---|---|---|---|---|
| 2024-09-18 09:29 | - | LM-O | ||
| 2024-09-18 09:29 | - | T-LESS | ||
| 2024-09-18 09:30 | - | TUD-L | ||
| 2024-09-18 09:30 | - | IC-BIN | ||
| 2024-09-18 09:30 | - | ITODD | ||
| 2024-09-18 09:31 | - | HB | ||
| 2024-09-18 09:31 | - | YCB-V | ||
| 2024-09-23 11:48 | - | HOPEv2 | ||
| 2024-09-23 12:12 | - | HANDAL | ||
| 2024-09-25 22:29 | - | HOT3D |