Generation of 3D Model from Images

Authors

  • Akash Chaudhari  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Aditya Deo  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Mahesh Badhe  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Ritesh Patidar  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Sunil Rathod  Professor, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, India

Keywords:

HSP, CNN, 3D Model, DIB-R

Abstract

3D models are used in various fields such as video games, films, architecture, illustration, engineering and commercial advertising. We have seen significant progress in 3D model generation and reconstruction in recent years. In this paper, we discussed how to convert a 2D image into a 3D model. Creating a 3D Model takes lots of effort starting from scratch in software like Maya or Blender. We are proposing a tool that allows you to generate a 3D Model from a single 2D image. The tool uses a pre-trained machine learning model in the background to generate a 3D Model. The pre-trained model is based on Hierarchical Surface Prediction (HSP). HSP uses Convolutional Neural Network (CNN) which is good at processing visual data like images, 3D Models with low computational power.

References

  1. Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T. Freeman, Joshua B. Tenenbaum, Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modelling, NIPS 2016
  2. Wenzheng Chen, Jun Gao,, Huan Ling, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler, Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer, NeurIPS 2019
  3. Christian Hane, Shubham Tulsiani, Jitendra Malik, Hierarchical Surface Prediction for 3D Object Reconstruction, Nov 2017
  4. Deepu R, Murali S, 3D Reconstruction from Single 2D Image, January 2016 ISSN: 2454-5031

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-06-30

Issue

Volume 8, Issue 3, May-June-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Akash Chaudhari, Aditya Deo, Mahesh Badhe, Ritesh Patidar, Sunil Rathod, " Generation of 3D Model from Images" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 3, pp.325-329, May-June-2021.