  In today's world, Neural Style Transfer (NST) has become a trendsetting term.
NST combines two pictures, a content picture and a reference image in style
(such as the work of a renowned painter) in a way that makes the output image
look like an image of the material, but rendered with the form of a reference
picture. However, there is no study using the artwork or painting of
Bangladeshi painters. Bangladeshi painting has a long history of more than two
thousand years and is still being practiced by Bangladeshi painters. This study
generates NST stylized image on Bangladeshi paintings and analyzes the human
point of view regarding the aesthetic preference of NST on Bangladeshi
paintings. To assure our study's acceptance, we performed qualitative human
evaluations on generated stylized images by 60 individual humans of different
age and gender groups. We have explained how NST works for Bangladeshi
paintings and assess NST algorithms, both qualitatively \& quantitatively. Our
study acts as a pre-requisite for the impact of NST stylized image using
Bangladeshi paintings on mobile UI/GUI and material translation from the human
perspective. We hope that this study will encourage new collaborations to
create more NST related studies and expand the use of Bangladeshi artworks.
