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- StyleGAN is a GAN for producing an unlimited number of (often convincing) portraits of fake human faces1. The architecture of StyleGAN model introduces control over the style of generated images at different levels of detail2. The StyleGAN architecture has been used to generate synthetic human faces with impressive results2. The team behind StyleGAN-Human has prepared a dataset called SHHQ (Stylish-Humans-HQ), that includes over 230,000 full-body fashion images, all attributes labelled, standardized at 1024x512 resolution3.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.In December 2018, Nvidia researchers distributed a preprint with accompanying software introducing StyleGAN, a GAN for producing an unlimited number of (often convincing) portraits of fake human faces. StyleGAN was able to run on Nvidia's commodity GPU processors.en.wikipedia.org/wiki/StyleGANThe architecture of StyleGAN model that introduces control over the style of generated images at different levels of detail. Impressive results achieved with the StyleGAN architecture when used to generate synthetic human faces.machinelearningmastery.com/introduction-to-style-…The team behind StyleGAN-Human has prepared a dataset they call SHHQ (Stylish-Humans-HQ), that includes over 230,000 full-body fashion images, all attributes labelled, standardized at 1024x512 resolution. The dataset does pull from existing public datasets, however is combed through to ensure the full-body requirement they are after.wandb.ai/telidavies/ml-news/reports/StyleGAN-Hu…
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StyleGAN-Human: A Data-Centric Odyssey of Human Generation
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StyleGAN-Human: A Data-Centric Odyssey of Human Generation
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
StyleGAN-Human: A Data-Centric Odyssey of Human …
WEBThis work takes a data-centric perspective and investigates multiple critical aspects in data engineering for StyleGAN-based human generation, namely data size, data distribution, and data alignment.
StyleGAN-Human/docs/Dataset.md at main - GitHub
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
StyleHumanCLIP: Text-guided Garment Manipulation for …
StyleGAN-Human Dataset | Papers With Code
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
Get3DHuman: Lifting StyleGAN-Human into a 3D Generative …
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
NVlabs/stylegan: StyleGAN - Official TensorFlow Implementation
StyleGAN-Human - a Hugging Face Space by hysts
public-data/StyleGAN-Human · Hugging Face
stylegan-human (stylegan-human) · GitHub
StyleHumanCLIP: Text-guided Garment Manipulation for …
NVIDIA Face Generator: Redefining AI-Generated Human Faces
GitHub - dulaku/StyleGAN-for-Humans: A PyTorch …
Opinion on enhancing diversity in photovoltaic scenario …
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