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14 de may. de 2024 · In the realm of artificial intelligence, StyleGAN has emerged as a revolutionary force, empowering us to create images with unprecedented realism and control. Think of it as a paintbrush in the hands of a master artist, allowing us to craft virtual worlds and bring our imagination to life.
26 de may. de 2024 · Generative Adversarial Network (GAN): StyleGAN is built upon the GAN framework, which consists of a generator and a discriminator. Open Source Implementation: NVIDIA released the source code for StyleGAN, making it available to the research and developer community.
Hace 1 día · StyleGAN y StyleGAN2: Permiten controlar el estilo de las imágenes generadas y ofrecen un mayor grado de disentanglement (separación de características). [6] CycleGAN: Permite realizar traducciones de imagen a imagen sin necesidad de pares de imágenes emparejadas.
30 de may. de 2024 · In this study, we leveraged StyleGAN 3 to synthesize high-fidelity images of pterygium, achieving significant strides in image realism as evidenced by low Fréchet Inception Distance (FID) scores. Our results demonstrate that StyleGAN 3 can intricately capture the textural nuances and vascular patterns distinctive to pterygium, with ...
25 de may. de 2024 · One such advancement is the StyleGAN architecture, which introduces style-based generator networks. StyleGAN allows for more precise control over the generated images by separating high-level attributes (such as pose and identity) from low-level details (such as texture).
23 de may. de 2024 · stylegan-nada is a CLIP-guided domain adaptation method that allows shifting a pre-trained generative model, such as StyleGAN, to new domains without requiring any images
29 de may. de 2024 · Based on the pre-trained StyleGAN, the existing approaches mapped the input conditions and noises into different levels of the latent to realize the generation diversity [4, 6, 19, 26]. As a special case of local face editing, hair editing can also be achieved by manipulating the feature vector of the StyleGAN latent space.
