Sketchai: using FCNS to Extract Line ART Drawings
Raghav Jadia1, Siddharth Sampat2, Ritika Pandey3, Manohar R4, Supriya P.5
1Raghav Jadia, Students, Sir M Visvesvaraya Institute of Technology, Bangalore.
2Siddharth Sampat, Students, Sir M Visvesvaraya Institute of Technology, Bangalore.
3Ritika Pandey, Students, Sir M Visvesvaraya Institute of Technology, Bangalore.
4Manohar R, Assistant Professor, Dept of ISE, Sir M Visvesvaraya Institute of Technology, Bangalore.
5Supriya P, Assistant Professor, Dept of CSE, Nitte Meenakshi Institute of Technology, Bangalore. 

Manuscript received on November 15, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on November 30, 2019. | PP: 117-120 | Volume-8 Issue-4, November 2019. | Retrieval Number: C6299098319/2019©BEIESP | DOI: 10.35940/ijrte.C6299.118419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: The digital revolution has improved every field of human lives. And field of ART is no exception. The rapid development of modern technology and techniques has made an impact on the work of painters, sketch artists and even comic book writers. One would be hard pressed to find artists in this day and age who haven’t heard of modern tools and applications such as Adobe Photoshop, GIMP, etc. But though these applications have undoubtedly made the lives of artists better, the use of AI for art is still at a nascent stage. The current work aims at developing a web-based application called SketchAI which uses Artificial Intelligence to simplify rough sketches or art work and extract the simplified line drawing. Fully Convolution Networks or FCNs are used to automate the task of sketch simplification. Dataset of rough sketches and corresponding line art drawings are used to train the system to extract line art. Different parameters such as number of epochs, loss functions etc. are considered for experimentation along with different subsets and augmentations of the data. Finally, comparisons of different methods are done to integrate deep learning models with a web application.
Keywords: Line Art Extraction, Sketch Simplification, Sketch Shading, Fcn.
Scope of the Article: Software Product Lines.