Скачать или смотреть Depth Any Panoramas: New Foundation Model for 360 Metric Depth Estimation Explained

In this video, we review "Depth Any Panoramas," a new foundation model designed for panoramic metric depth estimation. Learn how this model leverages DINOv3 to achieve state-of-the-art performance in diverse scene distances, bridging the gap between indoor and outdoor environments for 360-degree imagery.

Key Takeaways:

✔ Introduction to Depth Any Panoramas and its core architecture
✔ Utilization of DINOv3-Large backbone for robust generalization
✔ Overview of the large-scale dataset combining synthetic (UE5) and real-world images
✔ Explanation of the three-stage pseudo-label curation pipeline
✔ Performance analysis on benchmarks like Stanford2D3D and Matterport3D
✔ Implications for VR/AR, 3D reconstruction, and panoramic scene understanding

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