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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: SHAPEGEN TEXT TO 3D MODEL GENERATOR
Authors Name: Arjun T Prakash , Arjun K S , Sainath Raghunath , Shijo Shaji , Rekha K S
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IJRTI_204407
Published Paper Id: IJRTI2505312
Published In: Volume 10 Issue 5, May-2025
DOI:
Abstract: This project introduces an AI-driven Textto-3D Model Generation System that transforms natural language descriptions into fully realized 3D models using deep learning techniques. The system employs Stable Diffusion to convert text prompts into 2D images, which are then processed using depth estimation, Neural Radiance Fields (NeRF), and Signed Distance Functions (SDF) to construct an initial 3D representation. AI-driven topology optimization and texture mapping further enhance the model, ensuring realistic structure and efficient polygonal design. Users can refine shape, texture, and lighting through Python-based automation and AI-assisted sculpting tools in Blender and ZBrush. To maximize usability, the system supports exporting models in standard formats (OBJ, FBX,), making them compatible with game engines (Unity, Unreal), AR/VR platforms, animation software, and 3D printing. This approach reduces manual effort, accelerates 3D asset creation, and enhances creative flexibility. The project integrates deep learning frameworks such as PyTorch and TensorFlow, improving accuracy and realism in 3D model generation. Future enhancements include real-time interactive sculpting, advanced texture synthesis, and AI-based model refinement. this system revolutionizes 3D content creation, making it more accessible, efficient, and automated for game developers, artists, and digital designers.
Keywords: Stable Diffusion;PyTorch;Blender;Depth Estimation;,text to 3d model, text to image, image to 3dd model, shapegen
Cite Article: "SHAPEGEN TEXT TO 3D MODEL GENERATOR", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.d79-d85, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505312.pdf
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ISSN: 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
Publication Details: Published Paper ID: IJRTI2505312
Registration ID:204407
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: d79-d85
Country: vaikom/Kottayam, Kerala, India
Research Area: Computer Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505312
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505312
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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