3D Image Generation Model Using GAN

This project presents a 3D Image Generation Model using Generative Adversarial Networks (GANs).The model was deve;oped and trained using a custom dataset to produce realistic 3D image outputs. The aim is to enhance the performance and accuracy of 3D image synthesis for use in apllications such as virtual reality and game development. This repository inclides the trained model, source code, and supporting documentation for reproducibility and further research.3D

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-16
DOI
https://doi.org/10.5281/zenodo.15429453
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
Field-Weighted Citation Impact
0.00
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article

3D Image Generation Model Using GAN

Zenodo (CERN European Organization for Nuclear Research)
Generative Adversarial Networks and Image Synthesis
article

3D Image Generation Model Using GAN

article en

Abstract

This project presents a 3D Image Generation Model using Generative Adversarial Networks (GANs).The model was deve;oped and trained using a custom dataset to produce realistic 3D image outputs. The aim is to enhance the performance and accuracy of 3D image synthesis for use in apllications such as virtual reality and game development. This repository inclides the trained model, source code, and supporting documentation for reproducibility and further research.3D

Zenodo (CERN European Organization for Nuclear Research)
Sahyadri Hospital (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 52%
Generative Adversarial Networks and Image Synthesis
DOIOpen Access PDFOpenAlex
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3D Image Generation Model Using GAN · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS