Sapiens, a family of models for four fundamental human-centric vision tasks - 2D pose estimation, body-part segmentation, depth estimation, and surface normal prediction. Our models natively support 1K high-resolution inference and are extremely easy to adapt for individual tasks by simply fine-tuning models pretrained on over 300 million in-the-wild human images. The resulting models exhibit remarkable generalization to in-the-wild data, even when labeled data is scarce or entirely synthetic. Our simple model design also brings scalability - model performance across tasks improves as we scale the parameters from 0.3 to 2 billion. Sapiens consistently surpasses existing baselines across various human-centric benchmarks.
Note: This repository does not host any checkpoints but contains links to all the model repositories.
We provide checkpoints in three formats:
| Model Name | Original | TorchScript | BFloat16 |
|---|---|---|---|
| sapiens-pretrain-0.3b | link | link | link |
| sapiens-pretrain-0.6b | link | link | link |
| sapiens-pretrain-1b | link | link | link |
| sapiens-pretrain-2b | link | link | link |
Helper models for bounding box detection or background removal.
| Model Name | Original | TorchScript | BFloat16 |
|---|---|---|---|
| sapiens-pose-bbox-detector | link | - | - |
| sapiens-seg-foreground-1b | - | link | - |
Other finetuned models (pose-133 and pose-17): here
47 commits
1 commits
Sapiens, a family of models for four fundamental human-centric vision tasks - 2D pose estimation, body-part segmentation, depth estimation, and surface normal prediction. Our models natively support 1K high-resolution inference and are extremely easy to adapt for individual tasks by simply fine-tuning models pretrained on over 300 million in-the-wild human images. The resulting models exhibit remarkable generalization to in-the-wild data, even when labeled data is scarce or entirely synthetic. Our simple model design also brings scalability - model performance across tasks improves as we scale the parameters from 0.3 to 2 billion. Sapiens consistently surpasses existing baselines across various human-centric benchmarks.
Note: This repository does not host any checkpoints but contains links to all the model repositories.
We provide checkpoints in three formats:
| Model Name | Original | TorchScript | BFloat16 |
|---|---|---|---|
| sapiens-pretrain-0.3b | link | link | link |
| sapiens-pretrain-0.6b | link | link | link |
| sapiens-pretrain-1b | link | link | link |
| sapiens-pretrain-2b | link | link | link |
Helper models for bounding box detection or background removal.
| Model Name | Original | TorchScript | BFloat16 |
|---|---|---|---|
| sapiens-pose-bbox-detector | link | - | - |
| sapiens-seg-foreground-1b | - | link | - |
Other finetuned models (pose-133 and pose-17): here
47 commits
1 commits