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A language modeling-like approach to sketching.

Lisa Graziani1, Marco Gori2, Stefano Melacci3

  • 1Department of Social, Political and Cognitive Sciences, University of Siena, Italy.

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This study introduces Sketch Modeling, using neural networks to understand and generate sketches like language. This approach models sketch probabilities, enabling AI to complete drawings segment by segment.

Keywords:
Language ModelingRecurrent Neural NetworksSketch generation

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Area of Science:

  • Artificial Intelligence
  • Computer Vision
  • Machine Learning

Background:

  • Sketching is a powerful, universal communication method, often surpassing natural language in efficiency for certain concepts.
  • Traditional methods lack robust computational models for understanding and generating sketches.
  • The potential of neural networks, successful in language modeling, is explored for sketch analysis.

Purpose of the Study:

  • To investigate the feasibility of applying neural networks to sketch analysis and generation.
  • To develop a novel "Sketch Modeling" approach using neural networks for probabilistic sketch representation.
  • To enable AI systems to learn and predict sketch sequences.

Main Methods:

  • Representing sketches as sequences of segments, either pre-defined or generated.
  • Utilizing a Recurrent Neural Network (RNN) to learn a probabilistic sketch model.
  • Employing a Beam Search-based generation procedure for sketch completion and evaluation.

Main Results:

  • Demonstrated the feasibility of using neural networks for sketch modeling.
  • Developed methods to evaluate sketch generation, identifying promising outputs.
  • Showcased the model's ability to complete incomplete sketches by generating segments sequentially.

Conclusions:

  • Neural networks can effectively model sketch probabilities, opening new avenues for sketch-based AI applications.
  • The proposed Sketch Modeling approach is viable for both simple and categorized sketches.
  • This work paves the way for AI systems that can understand, generate, and complete sketches with high fidelity.