DepthMaster: Unified Monocular Depth Estimation for Perspective and Panoramic Images
Researchers have developed DepthMaster, a novel framework for unified monocular depth estimation that handles both standard perspective images and 360° panoramas. The system reformulates the problem by decomposing panoramic images into perspective patches, addressing geometric discrepancies and data scarcity. DepthMaster achieves state-of-the-art zero-shot performance across 13 diverse datasets, outperforming specialized models in both domains. AI
IMPACT This unified approach could simplify depth estimation tasks across various camera types and improve performance in applications like robotics and augmented reality.