TANet (Trained on Surreal)
Reported on 4 benchmarks across 2 tasks · 1 paper
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Methodology2 results
- 21.5best: 26.4 (Diffusion 3D Features (Zero-shot))
- 4.5best: 1.7 (Diffusion 3D Features (Zero-shot))
Computer Vision2 results
- Accuracy at 1%· uses extra data· 2024-03-2521.5best: 26.4 (Diffusion 3D Features (Zero-shot))
- Euclidean Mean Error (EME)· uses extra data· 2024-03-254.5best: 1.7 (Diffusion 3D Features (Zero-shot))