no code implementations • 22 Jul 2021 • Manan Oza, Sukalpa Chanda, David Doermann
Our approach is capable of generating images that are very accurately aligned to the exhaustive textual descriptions of faces with many fine detail features of the face and helps in generating better images.
no code implementations • 12 Mar 2019 • Manan Oza, Himanshu Vaghela, Kriti Srivastava
As proven in previously proposed models deterministic binary neurons also help in improving the results.
1 code implementation • 8 Mar 2019 • Vedant Singh, Manan Oza, Himanshu Vaghela, Pratik Kanani
The conventional 3D generative adversarial models are not efficient in generating multi object scenes, they usually tend to generate either one object or generate fuzzy results of multiple objects.
no code implementations • 24 Jan 2019 • Himanshu Vaghela, Manan Oza, Sudhir Bagul
Our results show that matched keypoints are more efficient than FREAK descriptor and requires low computation time than various descriptors like SIFT, BRISK and SURF.
no code implementations • 24 Jan 2019 • Manan Oza, Himanshu Vaghela, Sudhir Bagul
The advantage of using such an approach is that the image-to-image translation is semi-supervised, independant of image segmentation and inherits the properties of generative adversarial networks tending to produce realistic.