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International Journal for Research Trends and Innovation
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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: | A SURVEY ON 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_200264
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| Published Paper Id: | IJRTI2501071 |
| Published In: | Volume 10 Issue 1, January-2025 |
| DOI: | |
| Abstract: | —This survey investigates the use of Stable Diffusion models in the generation of 3D models, focusing on how text prompts can be transformed into 3D representations. The primary objective is to explore how a sequence of 2D images generated from a text description can be used to create a 3D point cloud, which serves as the basis for a fully realized 3D object. The survey also examines the fine-tuning process, implemented through Python-based techniques, that allows for the refinement of the model’s shape, texture, and other attributes, providing users with the ability to customize the final output. A key aspect of this research is understanding how this approach simplifies 3D model creation compared to traditional methods, which typically require specialized software and extensive technical expertise. By enabling users to input text descriptions and automatically generate 3D models, the technique lowers the barrier to entry for individuals without advanced 3D modeling skills. The survey explores the process’s advantages, such as the ease of customization through fine-tuning, which gives users greater control over the model’s appearance. Moreover, the survey assesses the flexibility of this method in supporting various applications. The ability to export models in different formats allows integration into diverse fields, including game development, virtual reality, 3D printing, and architectural visualization. Ultimately, this survey seeks to evaluate how AI-driven 3D modeling can democratize the design process, empowering a broader audience to create complex and detailed 3D objects. |
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| Cite Article: | "A SURVEY ON TEXT TO 3D MODEL GENERATOR", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 1, page no.a585-a589, January-2025, Available :http://www.ijrti.org/papers/IJRTI2501071.pdf |
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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 |
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Published Paper ID: IJRTI2501071
Registration ID:200264
Published In: Volume 10 Issue 1, January-2025
DOI (Digital Object Identifier):
Page No: a585-a589 Country: vaikom/Kottayam, Kerala, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2501071 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2501071 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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