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Stereo Matching

AANet: Real-Time Stereo Matching Without 3D Convolutions for Autonomous Systems and Embedded Vision

AANet: Real-Time Stereo Matching Without 3D Convolutions for Autonomous Systems and Embedded Vision 548

Stereo matching—the task of estimating depth from a pair of rectified images—is foundational in applications like autonomous driving, robotics, and…

01/13/2026Depth Estimation, Efficient Deep Learning, Stereo Matching
Stereo Anything: Zero-Shot Stereo Matching That Works Across Any Domain Without Retraining

Stereo Anything: Zero-Shot Stereo Matching That Works Across Any Domain Without Retraining 803

Stereo matching—the task of finding corresponding pixels between left and right images to infer depth—is foundational to 3D vision systems…

01/13/20263D Vision, Stereo Matching, Zero-shot Generalization
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