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A survey on generative adversarial networks: Variants, applications, and training
The Generative Models have gained considerable attention in unsupervised learning via a
new and practical framework called Generative Adversarial Networks (GAN) due to their …
new and practical framework called Generative Adversarial Networks (GAN) due to their …
Generative adversarial networks in medicine: important considerations for this emerging innovation in artificial intelligence
The advent of artificial intelligence (AI) and machine learning (ML) has revolutionized the
field of medicine. Although highly effective, the rapid expansion of this technology has …
field of medicine. Although highly effective, the rapid expansion of this technology has …
The center of attention: Center-keypoint grou** via attention for multi-person pose estimation
We introduce CenterGroup, an attention-based framework to estimate human poses from a
set of identity-agnostic keypoints and person center predictions in an image. Our approach …
set of identity-agnostic keypoints and person center predictions in an image. Our approach …
Style and pose control for image synthesis of humans from a single monocular view
Photo-realistic re-rendering of a human from a single image with explicit control over body
pose, shape and appearance enables a wide range of applications, such as human …
pose, shape and appearance enables a wide range of applications, such as human …
RETRACTED ARTICLE: A comprehensive survey on generative adversarial networks used for synthesizing multimedia content
L Kumar, DK Singh - Multimedia Tools and Applications, 2023 - Springer
GAN's are playing an important role in creating and generating a new set of data from the
previously available content. GAN models are impressive in the results for image and video …
previously available content. GAN models are impressive in the results for image and video …