Sapiens Depth 1b Bfloat16

🚀 Depth-Sapiens-1B-Bfloat16

A vision transformer model for depth estimation on human images, pretrained on a large - scale human image dataset.

🚀 Quick Start

The Depth-Sapiens-1B-Bfloat16 model is designed for depth estimation on human images. It belongs to the Sapiens family of vision transformers, which are pretrained on 300 million human images at 1024 x 1024 resolution.

✨ Features

• 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 well to in - the - wild conditions.
• Sapiens - 1B natively supports 1K high - resolution inference. The resulting models show remarkable generalization to in - the - wild data, even when labeled data is scarce or entirely synthetic.
• The Depth 1B model can be used to estimate relative depth on human images.

📦 Model Information

Model Details

Model Card

📚 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

📄 License

This model is licensed under the Creative Commons Attribution - NonCommercial 4.0 license.