2 citations · 2 across the 3 of their papers we have counts for
3 papers
One-shot domain adaptation for semantic face editing of real world images using StyleALAE
Ravi Kiran Reddy, Kumar Shubham, Gopalakrishnan Venkatesh +4
Semantic face editing of real world facial images is an important application of generative models. Recently, multiple works have explored possible techniques to generate such modi…
Introducing various Semantic Models for Amharic: Experimentation and Evaluation with multiple Tasks and Datasets
Seid Muhie Yimam, Abinew Ali Ayele, Gopalakrishnan Venkatesh +2
The availability of different pre-trained semantic models enabled the quick development of machine learning components for downstream applications. Despite the availability of abun…
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation
Kumar Shubham, Gopalakrishnan Venkatesh, Reijul Sachdev +3
Learning a disentangled representation of the latent space has become one of the most fundamental problems studied in computer vision. Recently, many Generative Adversarial Network…