Depth Anything V2 Large Introduction Depth Anything V2 is trained from 595K synthetic labeled images and 62M+ real unlabeled images, providing the most capable monocular depth estimation (MDE) model with the following features: more fine grained details than Depth Anything V1 more robust than Depth Anything V1 and SD based models (e.g., Marigold, Geowizard) more efficient (10x faster) and more lightweight than SD based models impressive fine tuned performance with our pre trained models Installation Usage Download the model first and put it under the checkpoints directory. Citation If you find this project useful, please consider citing: bibtex @article{depth anything v2, title={Depth Anything V2}, author={Yang, Lihe and Kang, Bingyi and Huang, Zilong and Zhao, Zhen and Xu, Xiaogang and Feng, Jiashi and Zhao, Hengshuang}, journal={arXiv:2406.09414}, year={2024} } @inproceedings{depth anything v1, title={Depth Anything: Unleashing the Power of Large Scale Unlabeled Data}, author={Yang, Lihe and Kang, Bingyi and Huang, Zilong and Xu, Xiaogang and Feng, Jiashi and Zhao, Hengshuang}, booktitle={CVPR}, year={2024} }
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