Sapiens Depth 0.6b
Sapiens is a family of vision transformers pretrained on 300 million human images at 1024 x 1024 image resolution. The pretrained models, when finetuned for human-centric vision tasks, generalize to in-the-wild...
Modellquelle
- Art
- Other
- Dateigröße
- 2,42 GB
- Version
- vRevision da99f78
- Aktualisiert
- 20. Okt. 2026
- Downloads
- 80
- Quelle
- Hugging Face
Quellenbeschreibung
Depth-Sapiens-0.6B
Model Details
Sapiens is a family of vision transformers pretrained on 300 million human images at 1024 x 1024 image resolution. The pretrained models, when finetuned for human-centric vision tasks, generalize to in-the-wild conditions. Sapiens-0.6B natively support 1K high-resolution inference. The resulting models exhibit remarkable generalization to in-the-wild data, even when labeled data is scarce or entirely synthetic.
- Developed by: Meta
- Model type: Vision Transformer
- License: Creative Commons Attribution-NonCommercial 4.0
- Task: depth
- Format: original
- File: sapiens_0.6b_render_people_epoch_70.pth
Model Card
- Image Size: 1024 x 768 (H x W)
- Num Parameters: 0.664 B
- FLOPs: 2.583 TFLOPs
- Patch Size: 16 x 16
- Embedding Dimensions: 1280
- Num Layers: 32
- Num Heads: 16
- Feedforward Channels: 5120
More Resources
- Repository: https://github.com/facebookresearch/sapiens
- Paper: https://arxiv.org/abs/2408.12569
- Demo: https://huggingface.co/spaces/facebook/sapiens-depth
- Project Page: https://about.meta.com/realitylabs/codecavatars/sapiens
- Additional Results: https://rawalkhirodkar.github.io/sapiens
- HuggingFace Collection: https://huggingface.co/collections/facebook/sapiens-66d22047daa6402d565cb2fc
Uses
Depth 0.6B model can be used to estimate relative depth on human images.
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1 QuelleVerifiziert 17. Aug.
Modellartefakte
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1 Artefaktsapiens_0.6b_render_people_epoch_70.pth
pth · 2,42 GB · SHA-256 1bd5d92485ce…df32 · Hugging Face
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2 Auszüge--- language: en license: cc-by-nc-4.0 pipeline_tag: depth-estimation tags: - sapiens --- # Depth-Sapiens-0.6B ### Model Details Sapiens is a family of vision transformers pretrained on 300 million human images at 1024 x 1024 image resolution. The pretrained models, when finetuned for human-centric vision tasks, generalize to in-the-wild conditions. Sapiens-0.6B natively support 1K high-resolution inference. The resulting models exhibit remarkable generalization to in-the-wild data, even when labeled data is scarce or entirely synthetic. - **Developed by:** Meta - **Model type:** Vision Transformer - **License:** Creative Commons Attribution-NonCommercial 4.0 - **Task:** depth - **Format:** original - **File:** sapiens_0.6b_render_people_epoch_70.pth ### Model Card - **Image Size:** 1024 x 768 (H x W) - **Num Parameters:** 0.664 B - **FLOPs:** 2.583 TFLOPs - **Patch Size:** 16 x 16 - **Embedding Dimensions:** 1280 - **Num Layers:** 32 - **Num Heads:** 16 - **Feedforward Channels:** 5120 ### More Resources - **Repository:** [https://github.com/facebookresearch/sapiens](https://github.com/facebookresearch/sapiens) - **Paper:** [https://arxiv.org/abs/2408.12569](https://arxiv.org/abs/2408.12569) - **Demo:** [https://huggingface.co/spaces/facebook/sapiens-depth](https://huggingface.co/spaces/facebook/sapiens-depth) - **Project Page:** [https://about.meta.com/realitylabs/codecavatars/sapiens](https://about.meta.com/realitylabs/codecavatars/sapiens/) - **Additional Results:** [https://rawalkhirodkar.github.io/sapiens](https://rawalkhirodkar.github.io/sapiens/) - **HuggingFace Collection:** [https://huggingface.co/collections/facebook/sapiens-66d22047daa6402d565cb2fc](https://huggingface.co/collections/facebook/sapiens-66d22047daa6402d565cb2fc) ## Uses Depth 0.6B model can be used to estimate relative depth on human images.
Source context: 80 downloads · 1 likes · Pipeline depth-estimation · Library sapiens · Repo facebook/sapiens-depth-0.6b
