AI RESEARCH
Fast-FoundationStereo: Real-Time Zero-Shot Stereo Matching
arXiv CS.CV
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ArXi:2512.11130v2 Announce Type: replace Stereo foundation models achieve strong zero-shot generalization but remain computationally prohibitive for real-time applications. Efficient stereo architectures, on the other hand, sacrifice robustness for speed and require costly per-domain fine-tuning. To bridge this gap, we present Fast-FoundationStereo, a family of architectures that achieve, for the first time, strong zero-shot generalization at real-time frame rate.