Real-time video super resolution network using recurrent multi-branch dilated convolutions

Research article (Signal Processing Image Communication, 2021) · cited 15× · AI/ML
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Real-time video super resolution network using recurrent multi-branch dilated convolutions

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Real-time video super resolution network using recurrent multi-branch dilated convolutions is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Real-time video super resolution network using recurrent multi-branch dilated convolutions. Retrieved May 24, 2026, from https://4ort.xyz/entity/real-time-video-super-resolution-network-using-recurrent-multi-branch-dilated-convolutions
MLA “Real-time video super resolution network using recurrent multi-branch dilated convolutions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/real-time-video-super-resolution-network-using-recurrent-multi-branch-dilated-convolutions.
BibTeX @misc{4ortxyz_real-time-video-super-resolution-network-using-recurrent-multi-branch-dilated-convolutions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Real-time video super resolution network using recurrent multi-branch dilated convolutions}}, year = {2026}, url = {https://4ort.xyz/entity/real-time-video-super-resolution-network-using-recurrent-multi-branch-dilated-convolutions}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Real-time video super resolution network using recurrent multi-branch dilated convolutions — https://4ort.xyz/entity/real-time-video-super-resolution-network-using-recurrent-multi-branch-dilated-convolutions (retrieved 2026-05-24)

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