Add to ORKGStyleGAN can use style to affect facial posture and identity features, and noise to affect hair, wrinkles, skin color and other details. Among these, the outcomes of the picture processing will vary slightly between different versions of styleGAN. As a result, the comparison of performance differences between styleGAN2 and the two modified versions of styleGAN3 will be the main focus of this study. We used the FFHQ dataset as the dataset and FID, EQ-T, and EQ-R were used to be the assessment of the model. In the end, we discovered that Stylegan3 version is a better generative network to improve the equivariance. Our findings have a positive impact on the creation of animation and videos
Generative adversarial models (GANs) continue to produce advances in terms of the visual quality of ...
This paper introduces a novel method for realtime portrait animation in a single photo. Our method r...
Generative Adversarial Networks (GANs) have recently introduced effective methods of performing Imag...
StyleGAN can use style to affect facial posture and identity features, and noise to affect hair, wri...
The object of research is image generation algorithms based on GAN. The article reviews the main use...
Computer graphics has experienced a recent surge of data-centric approaches for photorealistic and c...
StyleGAN is a neural network architecture that is able to generate photo-realistic images. The diver...
StyleGAN is a state-of-art generative adversarial network architecture that generates random 2D high...
Generative Adversarial Networks (GANs) brought rapid developments in generating synthetic images by ...
Generative adversarial networks (GANs) have demonstrated to be successful at generating realistic re...
Deep learning applications on computer vision involve the use of large-volume and representative dat...
In this research work, we proposed a novel ChildGAN, a pair of GAN networks for generating synthetic...
StyleGAN generates photorealistic portrait images of faces with eyes, teeth, hair and context (neck,...
An investigation into the baseline GAN and progressive GAN (PGGAN) and subsequent works like the sty...
Unconditional video generation is a challenging task that involves synthesizing high-quality videos ...
Generative adversarial models (GANs) continue to produce advances in terms of the visual quality of ...
This paper introduces a novel method for realtime portrait animation in a single photo. Our method r...
Generative Adversarial Networks (GANs) have recently introduced effective methods of performing Imag...
StyleGAN can use style to affect facial posture and identity features, and noise to affect hair, wri...
The object of research is image generation algorithms based on GAN. The article reviews the main use...
Computer graphics has experienced a recent surge of data-centric approaches for photorealistic and c...
StyleGAN is a neural network architecture that is able to generate photo-realistic images. The diver...
StyleGAN is a state-of-art generative adversarial network architecture that generates random 2D high...
Generative Adversarial Networks (GANs) brought rapid developments in generating synthetic images by ...
Generative adversarial networks (GANs) have demonstrated to be successful at generating realistic re...
Deep learning applications on computer vision involve the use of large-volume and representative dat...
In this research work, we proposed a novel ChildGAN, a pair of GAN networks for generating synthetic...
StyleGAN generates photorealistic portrait images of faces with eyes, teeth, hair and context (neck,...
An investigation into the baseline GAN and progressive GAN (PGGAN) and subsequent works like the sty...
Unconditional video generation is a challenging task that involves synthesizing high-quality videos ...
Generative adversarial models (GANs) continue to produce advances in terms of the visual quality of ...
This paper introduces a novel method for realtime portrait animation in a single photo. Our method r...
Generative Adversarial Networks (GANs) have recently introduced effective methods of performing Imag...