Depth Estimation
Core ML
core-ml
depth-anything
depth-anything-3
depth-anything-3-small
da3
da3-small
multi-view
multi-view-depth
multi-view-geometry
pose-conditioned
camera-pose
pose-estimation
3d-reconstruction
3d-scanning
arkit
ios
iphone
iphone-12-pro
iphone-17-pro
apple-silicon
apple-neural-engine
ane
on-device
swift
| Depth Anything 3 Small Multi-View Core ML | |
| Copyright 2026 Shuichi Tsutsumi | |
| This repository contains Core ML conversions of the Depth Anything 3 Small model weights. | |
| Original work: | |
| Depth Anything 3 Small (depth-anything/DA3-SMALL on Hugging Face, | |
| revision e08cab65ca0ec38e7826075418411ab90cab4da3), licensed under the Apache License, Version 2.0. | |
| The original repository has no NOTICE file. | |
| Changes made in this conversion: | |
| - Converted from PyTorch to Core ML packages (.mlpackage) with coremltools. | |
| - Multi-view input with camera poses: the models take 2 or 3 images together with each image's | |
| extrinsics and intrinsics (for example from ARKit), instead of a single image. | |
| - Fixed input sizes of 504 x 504 or 392 x 392 pixels. | |
| - In the "sliced" variants, the global attention across views is computed in slices of the query | |
| (16 slices, or 8 in "sliced8") to keep the intermediate matrices small. | |
| - In the "headcombo" variants, the depth head was rewritten (transposed-convolution upsampling, and the | |
| upsampling moved later in the head). Depth values differ slightly from the original at object edges. | |
| The full text of the Apache License, Version 2.0 is in the LICENSE file. | |