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Dataset . 2020
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Dataset . 2020
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Dataset . 2020
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ZENODO
Dataset . 2021
License: CC BY
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A large-scale wide-baseline light field dataset - Part I

Authors: LI YAN;

A large-scale wide-baseline light field dataset - Part I

Abstract

This dataset is the Part I of a large-scale, synthetic wide-baseline light field dataset (called WLF), including 345 light fields. Each light field provides 9x9 angular (RGB) images and ground truth disparities. This light field dataset involves the spatial resolution (512x512) images only. The dataset is originally created for training the deep learning-based models for depth estimation. You might use this dataset for other tasks if possible. You might also have a try to play with this dataset using our code in https://github.com/YanWQ/LLF-Net.

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Keywords

light fields, wide-baseline, sparse, depth estimation, disparity estimation

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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