Karing vs Memo 3D Scanner

1. Compatible with Clash, V2ray/V2fly, Sing-box, Shadowsocks, Sub, Github Subscriptions. 2. Full clash config supported, Partial clash.meta config supported. 3. A set of routing rules applied to multiple subscription sources automatically selects efficient nodes. 4. Supports custom routing rule groups and node groups. 5. Customizes default routing rule groups for novice users - ready to use right out of the box. 6.Backup and synchronization, synchronizing multiple devices with a single configuration. 7. Supports iCloud/ Local area network/WebDAV synchronization. 8. Supports importing/exporting ZIP files. 9. novice mode for simpler configuration. 10. https://karing.app

SCANNING Memo exports high-accuracy, COLMAP-compatible capture data, ready for training on your PC with the 3D reconstruction pipeline you prefer. Memo refines ARKit camera poses to improve tracking accuracy and uses diffusion-based depth estimation to generate detailed geometric priors. This reduces reliance on LiDAR and helps 3DGS training converge faster with more stable initial geometry. Memo works on any AR-capable iPhone. On supported Pro models, LiDAR-assisted capture can also be enabled in Settings. ON-DEVICE TRAINING Train 3D Gaussian Splatting scenes entirely on your iPhone. Memo is deeply optimized for Apple hardware, delivering fast, high-quality local reconstruction without sending your captures to external servers. Choose a preset for a quick start, or adjust training parameters for greater control over the final result. Once training is complete, export a camera-path video or scene file directly from your device. You can also upload your scene to SuperSplat with one tap. PRIVACY FIRST Your captures and reconstructions stay on your device. No cloud processing, no mandatory uploads, and no account required.