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princeton-vl · Apr 29, 2022 · 5899261 · 5899261
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 This repository contains the source code for our paper:
 
 [RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching](https://arxiv.org/pdf/2109.07547.pdf)<br/>
+3DV 2021, Best Student Paper Award<br/>
 Lahav Lipson, Zachary Teed and Jia Deng<br/>
 
 ```
-@article{lipson2021raft,
-  title={{RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching}},
+@inproceedings{lipson2021raft,
+  title={RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching},
   author={Lipson, Lahav and Teed, Zachary and Deng, Jia},
-  journal={arXiv preprint arXiv:2109.07547},
+  booktitle={International Conference on 3D Vision (3DV)},
   year={2021}
 }
 ```
@@ -112,7 +113,7 @@ To train using significantly less memory, change `--n_downsample 2` to `--n_down
 
 ## (Optional) Faster Implementation
 
-We provide a faster CUDA implementation of the correlation volume which works with mixed precision feature maps.
+We provide a faster CUDA implementation of the correlation sampler which works with mixed precision feature maps.
 ```Shell
 cd sampler && python setup.py install && cd ..
 ```

diff --git a/depth_eq.png b/depth_eq.png