 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: November 2025
Volume 10 | Issue 11
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 114
Article Submitted : 18414
Article Published : 7822
Total Authors : 20662
Total Reviewer : 756
Total Countries : 142
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| 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 |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_200264
|
| 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. |
| Keywords: | |
| 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 |
| Downloads: | 000334 |
| 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: 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 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||