Sapiens Depth 2b

--- language: en license: cc-by-nc-4.0 pipeline_tag: depth-estimation tags: - sapiens --- # Depth-Sapiens-2B ### 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-2B 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_2b_render_people_epoch_25.pth ### Model Card - **Image Size:** 1024 x 768 (H x W) - **Num Parameters:** 2.163 B - **FLOPs:** 8.709 TFLOPs - **Patch Size:** 16 x 16 - **Embedding Dimensions:** 1920 - **Num Layers:** 48 - **Num Heads:** 32 - **Feedforward Channels:** 7680 ### 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 2B model can be used to estimate relative depth on human images.

Source context: 89 downloads · 4 likes · Pipeline depth-estimation · Library sapiens · Repo facebook/sapiens-depth-2b