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Software . 2024
License: CC BY
Data sources: Datacite
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
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Re-Implementation of TransGAN: Two Transformers Can Make One Strong GAN

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 11 Mar 2024Publisher:Zenodo
Authors: Sarıgün, Ahmet;

doi: 10.5281/zenodo.10806360 , 10.5281/zenodo.10806359

Re-Implementation of TransGAN: Two Transformers Can Make One Strong GAN

Abstract

This is re-implementation of TransGAN: Two Transformers Can Make One Strong GAN, and That Can Scale Up, NeurIPS 2021 in PyTorch. If you utilize the code, please make sure to cite the repository as well as the original paper.

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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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
0
Average
Average
Average