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CREStereo

Cascaded recurrent stereo matching network for high‑accuracy disparity estimation.

CREStereo (Cascaded Recurrent Network with Adaptive Correlation) is a CVPR 2022 Oral paper that achieves state‑of‑the‑art stereo matching accuracy.

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Model RepositoryHugging FaceResearch Paper

Technical Details

Model checkpoint:CREStereo ETH3D pretrained (crestereo_eth3d.pt)
Input:Rectified stereo pair — left and right RGB images
Input resolution:240x320
Output:Disparity map
Number of parameters:5.43M
Model size (float):20.7 MB

Applicable Scenarios

  • Robotics
  • AR/VR
  • Autonomous Driving
  • 3D Reconstruction

License

Model:APACHE-2.0

Supported Automotive Devices

  • SA7255P ADP
  • SA8255P ADP
  • SA8295P ADP
  • SA8650P ADP
  • SA8775P ADP

Supported Automotive Chipsets

  • Qualcomm® SA7255P
  • Qualcomm® SA8295P
  • Qualcomm® SA8775P

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