7 citations · 18 across the 9 of their papers we have counts for
10 papers
Significance of Skeleton-based Features in Virtual Try-On
Debapriya Roy, Sanchayan Santra, Diganta Mukherjee +1
The idea of \textit{Virtual Try-ON} (VTON) benefits e-retailing by giving an user the convenience of trying a clothing at the comfort of their home. In general, most of the existin…
An Unsupervised Approach towards Varying Human Skin Tone Using Generative Adversarial Networks
Debapriya Roy, Diganta Mukherjee, Bhabatosh Chanda
With the increasing popularity of augmented and virtual reality, retailers are now focusing more towards customer satisfaction to increase the amount of sales. Although augmented r…
LGVTON: A Landmark Guided Approach to Virtual Try-On
Debapriya Roy, Sanchayan Santra, Bhabatosh Chanda
In this paper, we propose a Landmark Guided Virtual Try-On (LGVTON) method for clothes, which aims to solve the problem of clothing trials on e-commerce websites. Given the images…
Text Extraction and Restoration of Old Handwritten Documents
Mayank Wadhwani, Debapriya Kundu, Deepayan Chakraborty +1
Image restoration is very crucial computer vision task. This paper describes two novel methods for the restoration of old degraded handwritten documents using deep neural network.…
Morphological Networks for Image De-raining
Ranjan Mondal, Pulak Purkait, Sanchayan Santra +1
Mathematical morphological methods have successfully been applied to filter out (emphasize or remove) different structures of an image. However, it is argued that these methods cou…
Morphological Network: How Far Can We Go with Morphological Neurons?
Ranjan Mondal, Sanchayan Santra, Soumendu Sundar Mukherjee +1
Morphological neurons, that is morphological operators such as dilation and erosion with learnable structuring elements, have intrigued researchers for quite some time because of t…