Back to Models
facebook logo

facebook/sapiens2

facebookgeneral

Sapiens2

Sapiens2 is a family of high-resolution vision transformers pretrained on 1 billion human images — designed for human-centric tasks such as pose estimation, body-part segmentation, surface normals, and pointmaps.

This is the index repository: each variant lives in its own model repo (linked below).

Pretrained Backbones

ModelParamsRepository
Sapiens2-0.1B0.114 Bfacebook/sapiens2-pretrain-0.1b
Sapiens2-0.4B0.398 Bfacebook/sapiens2-pretrain-0.4b
Sapiens2-0.8B0.818 Bfacebook/sapiens2-pretrain-0.8b
Sapiens2-1B1.462 Bfacebook/sapiens2-pretrain-1b
Sapiens2-1B (4K)1.607 Bfacebook/sapiens2-pretrain-1b-4k
Sapiens2-5B5.071 Bfacebook/sapiens2-pretrain-5b

Task Checkpoints

Pose Estimation

ModelRepository
Sapiens2-0.4Bfacebook/sapiens2-pose-0.4b
Sapiens2-0.8Bfacebook/sapiens2-pose-0.8b
Sapiens2-1Bfacebook/sapiens2-pose-1b
Sapiens2-5Bfacebook/sapiens2-pose-5b

Body-Part Segmentation

ModelRepository
Sapiens2-0.4Bfacebook/sapiens2-seg-0.4b
Sapiens2-0.8Bfacebook/sapiens2-seg-0.8b
Sapiens2-1Bfacebook/sapiens2-seg-1b
Sapiens2-5Bfacebook/sapiens2-seg-5b

Surface Normal Estimation

ModelRepository
Sapiens2-0.4Bfacebook/sapiens2-normal-0.4b
Sapiens2-0.8Bfacebook/sapiens2-normal-0.8b
Sapiens2-1Bfacebook/sapiens2-normal-1b
Sapiens2-5Bfacebook/sapiens2-normal-5b

Pointmap Estimation

ModelRepository
Sapiens2-0.4Bfacebook/sapiens2-pointmap-0.4b
Sapiens2-0.8Bfacebook/sapiens2-pointmap-0.8b
Sapiens2-1Bfacebook/sapiens2-pointmap-1b
Sapiens2-5Bfacebook/sapiens2-pointmap-5b

License

Released under the Sapiens2 License.

Citation

@article{khirodkarsapiens2,
  title={Sapiens2},
  author={Khirodkar, Rawal and Wen, He and Martinez, Julieta and Dong, Yuan and Su, Zhaoen and Saito, Shunsuke},
  journal={arXiv preprint arXiv:2604.21681},
  year={2026}
}
Visit Website

0 reviews

5
0
4
0
3
0
2
0
1
0
Likes104
Downloads
📝

No reviews yet

Be the first to review facebook/sapiens2!

Model Info

Providerfacebook
Categorygeneral
Reviews0
Avg. Rating / 5.0

Community

Likes104
Downloads

Rating Guidelines

★★★★★Exceptional
★★★★Great
★★★Good
★★Fair
Poor