Submitted by Zachary Teed.

Submission data

Full nameRAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching
DescriptionWe introduce RAFT-Stereo, a new deep architecture for rectified stereo based on the optical flow network RAFT. We introduce multi-level convolutional GRUs, which more efficiently propagate information across the image. A modified version of RAFT-Stereo can perform accurate real-time inference.
Publication titleRAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching
Publication authorsLahav Lipson, Zachary Teed, and Jia Deng
Publication venue3DV
Publication URL
Programming language(s)Pytthon
HardwareRTX 6000
Source code or download URL
Submission creation date5 Nov, 2020
Last edited4 Oct, 2021

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