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README.md
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@@ -50,3 +50,26 @@ Moebius weights and code are Apache 2.0, and these exports inherit that license.
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booktitle={European Conference on Computer Vision (ECCV)}
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}
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```
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booktitle={European Conference on Computer Vision (ECCV)}
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}
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```
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## da3-scanner
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ExecuTorch exports of [Depth Anything 3](https://github.com/bytedance-seed/depth-anything-3) (ByteDance Seed, ICLR 2026) any-view models, for the [on-device 3D scanner demo app](https://github.com/NorbertKlockiewicz/on-device-3d-scanner): 8 photos in, per-view depth, confidence and camera poses out in one forward pass, no SfM and no per-scene optimization.
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Layout: `da3-scanner/coreml/` (iOS) and `da3-scanner/xnnpack/` (Android and CPU). All graphs are static at 8 views of 560x420 (portrait), ImageNet-normalized RGB, input `(1,8,3,560,420)`:
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- `da3_base_8v_560x420_coreml_fp16_gpu.pte` (480MB): DA3-BASE, fp16, compute units pinned to CPU_AND_GPU. The pin is deliberate: the ANE compiler crashes the host process on this graph, while the GPU runs it in ~3.1s on an iPhone 16 Pro.
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- `da3_small_8v_560x420_coreml_fp32.pte` (382MB): DA3-SMALL, ~2.0s on the same phone, ANE-safe.
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- `da3_base_8v_560x420_xnnpack.pte` (413MB) and `da3_small_8v_560x420_xnnpack.pte` (105MB): fp32 CPU builds.
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Outputs per view: depth `(1,8,560,420)`, confidence `(1,8,560,420)`, and a 9-float pose encoding (translation, quaternion xyzw, vertical/horizontal FOV) relative to view 0. Export script and the pose decoding: see the demo repo.
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DA3-SMALL and DA3-BASE weights and code are Apache 2.0, and these exports inherit that license.
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```
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@article{depthanything3,
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title={Depth Anything 3: Recovering the visual space from any views},
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author={Haotong Lin and Sili Chen and Jun Hao Liew and Donny Y. Chen and Zhenyu Li and Guang Shi and Jiashi Feng and Bingyi Kang},
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journal={arXiv preprint arXiv:2511.10647},
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year={2025}
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}
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```
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