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WSVD
Optical Flow
Others
Stereo Matching
|...
License: Unknown

Overview

We present a fully data-driven method to compute depth from diverse monocular video sequences
that contain large amounts of non-rigid objects, e.g., people. To learn reconstruction cues
for non-rigid scenes, we introduce a new dataset (WSVD) consisting of stereo videos scraped
from Youtube. This dataset has a wide variety of scene types, and features many nonrigid objects.

Citation

Please use the following citation when referencing the dataset:

@misc{wang2019web,
title={Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes},
author={Chaoyang Wang and Simon Lucey and Federico Perazzi and Oliver Wang},
year={2019},
eprint={1904.11112},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
Data Summary
Type
Video,
Amount
--
Size
--
Provided by
Chaoyang Wang
Chaoyang Wang is a Ph.D. Student of Robotics Institute of Carnegie Mellon University.
| Amount -- | Size --
WSVD
Optical Flow Others
Stereo Matching
License: Unknown

Overview

We present a fully data-driven method to compute depth from diverse monocular video sequences
that contain large amounts of non-rigid objects, e.g., people. To learn reconstruction cues
for non-rigid scenes, we introduce a new dataset (WSVD) consisting of stereo videos scraped
from Youtube. This dataset has a wide variety of scene types, and features many nonrigid objects.

Citation

Please use the following citation when referencing the dataset:

@misc{wang2019web,
title={Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes},
author={Chaoyang Wang and Simon Lucey and Federico Perazzi and Oliver Wang},
year={2019},
eprint={1904.11112},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
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