Views provided by UsageCountsLearning to Generate Wasserstein Barycenters: datasets
Lacombe, Julien; Digne, Julie; Bonneel, Nicolas; Courty, Nicolas;
Learning to Generate Wasserstein Barycenters: datasets
Datasets used in the paper "Learning to Generate Wasserstein barycenters" published in the JMIV (https://link.springer.com/article/10.1007/s10851-022-01121-y) and also available on arXiv (https://arxiv.org/abs/2102.12178), with code on GitHub (https://github.com/jlacombe/learning-to-generate-wasserstein-barycenters).
Wasserstein Barycenter, Optimal Transport, Convolutional Neural Network, Color Transfer
Wasserstein Barycenter, Optimal Transport, Convolutional Neural Network, Color Transfer
selected citations These citations are derived from selected sources.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).0 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.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average views 4 - 4views
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
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).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP!influenceInfluence provided by BIP!
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Influence provided by BIP!impulseImpulse provided by BIP!
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
Impulse provided by BIP!viewsViews provided by UsageCounts
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