We introduce SinGAN, an unconditional generative model that can be learned from a single natural image. Our model is trained to capture the internal distribution of patches within the …
… We compare SINGAN and DNN in terms of singing voice conversion performance. We use … to train the SINGAN and the baseline DNN framework. As can be seen, SINGAN outperforms …
… SinGAN model have stronger realism and relatively less training time, and the extracted features are easily recognized in the classification network. The improved SinGAN … the SinGAN …
… , this paper proposes an oil spill image expansion model of SinGAN-Labeler, which is improved on the basis of the original SinGAN model. By increasing the number of channels, this …
… For SinGAN, input data consist of multiple pairs of mask images and … by SinGAN to obtain the generator parameters. The resulting trained SinGAN is referred to as the learned SinGAN. …
Imaging techniques such as immunofluorescence (IF) and the expression of fluorescent protein (FP) fusions are widely used to investigate the subcellular distribution of proteins. Here …
The secretory pathway in mammalian cells has evolved to facilitate the transfer of cargo molecules to internal and cell surface membranes. Use of automated microscopy-based genome…
Small RNAs (sRNAs) are known to regulate pathogenic plant–microbe interactions. Emerging evidence from the study of these model systems suggests that microRNAs (miRNAs) can …
Orchids are highly dependent on their mycorrhizal fungal partners for nutrient supply, especially during early developmental stages. In addition to organic carbon, nitrogen (N) is …
Background wFleaBase is a database with the necessary infrastructure to curate, archive and share genetic, molecular and functional genomic data and protocols for an emerging …