AI RESEARCH

Fast-FoundationStereo: Real-Time Zero-Shot Stereo Matching

arXiv CS.CV

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.