1 citations · 1 across the 3 of their papers we have counts for
5 papers
Semantic Text-to-Face GAN -ST^2FG
Manan Oza, Sukalpa Chanda, David Doermann
Faces generated using generative adversarial networks (GANs) have reached unprecedented realism. These faces, also known as "Deep Fakes", appear as realistic photographs with very…
Progressive Generative Adversarial Binary Networks for Music Generation
Manan Oza, Himanshu Vaghela, Kriti Srivastava
Recent improvements in generative adversarial network (GAN) training techniques prove that progressively training a GAN drastically stabilizes the training and improves the quality…
Auto-Encoding Progressive Generative Adversarial Networks For 3D Multi Object Scenes
Vedant Singh, Manan Oza, Himanshu Vaghela +1
3D multi object generative models allow us to synthesize a large range of novel 3D multi object scenes and also identify objects, shapes, layouts and their positions. But multi obj…
MREAK : Morphological Retina Keypoint Descriptor
Himanshu Vaghela, Manan Oza, Sudhir Bagul
A variety of computer vision applications depend on the efficiency of image matching algorithms used. Various descriptors are designed to detect and match features in images. Deplo…
Semi-Supervised Image-to-Image Translation
Manan Oza, Himanshu Vaghela, Sudhir Bagul
Image-to-image translation is a long-established and a difficult problem in computer vision. In this paper we propose an adversarial based model for image-to-image translation. The…