A 6.1M-parameter monocular depth network, distilled from Depth Anything v2-Large over 14.1M multi-domain images, achieves the best zero-shot accuracy–efficiency trade-off among lightweight models across five benchmarks while running in real time on devices from server GPUs to smartphones.
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
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ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device
A 6.1M-parameter monocular depth network, distilled from Depth Anything v2-Large over 14.1M multi-domain images, achieves the best zero-shot accuracy–efficiency trade-off among lightweight models across five benchmarks while running in real time on devices from server GPUs to smartphones.