Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This review paper exploration presents an ideal picture based virtual network try that transfers a selected article of clothing onto the relevant body part of a person using a coarse-to-fine fashion without using any kind of 3D data. This system creates a rough, synthetic image by superimposing the desired article of clothing onto the same individual wearing the same disguise. This is a preliminary step towards creating a new, descriptive, and attire-neutral person Representation. Using a refinement network, we further ameliorate the original hazy clothes area. The network selects which attributes from a particular piece of apparel to apply and how to attach them to the available data to create an actual picture in which the desired piece of apparel expands naturally with distinct visual patterns. The research conducted on this recently gathered data set indicate considerable potential for a picture based virtual trial on job when compared to top-of-the generative models.
"A Review Of Innovative Auto-Scanning And Implementing Virtual Display Of Customers In Online Entities.", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.b212-b215, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506128.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator