Based on the trained ResNet34 and training dataset: Use current generator to get generated image (x̂) for input (x); Compute the reconstruction loss; Feed x and x̂ to ResNet34 to get feature vector ...
In our paper, we proposed HiFi-GAN: a GAN-based model capable of generating high fidelity speech efficiently. We provide our implementation and pretrained models as open source in this repository.
In an interview with Power Electronics News, André Bonnardot, CEO of EasyGaN, shares his journey into the semiconductor industry and how it led him to spearhead innovations in GaN-on-silicon ...
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