Results for RAFT-Stereo
Submission data
Full name | RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching |
Description | We 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 title | RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching |
Publication authors | Lahav Lipson, Zachary Teed, and Jia Deng |
Publication venue | 3DV |
Publication URL | https://arxiv.org/abs/2109.07547 |
Programming language(s) | Pytthon |
Hardware | RTX 6000 |
Source code or download URL | https://github.com/princeton-vl/RAFT-Stereo |
Submission creation date | 5 Nov, 2020 |
Last edited | 4 Oct, 2021 |
High-res multi-view results
Info | all | high-res multi-view | indoor | outdoor | botani. | boulde. | bridge | door | exhibi. | lectur. | living. | lounge | observ. | old co. | statue | terrac. |
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Low-res many-view results
Info | all | low-res many-view | indoor | outdoor | lakeside | sand box | storage room | storage room 2 | tunnel |
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Low-res two-view results
SLAM results
all | boxes | boxes dark | buddha | cables 4 | cables 5 | desk 1 | desk 2 | desk changing 2 | desk dark 1 | desk dark 2 | desk global light changes | desk ir light | dino | drone | foreground occlusion | helmet | kidnap 2 | lamp | large loop 2 | large loop 3 | large non loop | motion 2 | motion 3 | motion 4 | planar 1 | reflective 2 | scale change | table 1 | table 2 | table 5 | table 6 | table global light changes | table local light changes | table scene | trashbin | |||
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