Linguistic to 3d Transformation

Converting linguistic input into 3D models is a complex and multifaceted task that requires the integration of several advanced technologies. Natural language processing (NLP) is used to understand and interpret the user's descriptions, while computer vision techniques help in recognizing and processing visual information. 3D rendering techniques are then employed to create the final 3D models.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-02-06
DOI
https://doi.org/10.55041/ijsrem41406
Primary Topic
University-Industry-Government Innovation Models
Type
article
Field-Weighted Citation Impact
0.00
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article

Linguistic to 3d Transformation

T. Ratnamala
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
University-Industry-Government Innovation Models
article

Linguistic to 3d Transformation

T. Ratnamala
article en

Abstract

Converting linguistic input into 3D models is a complex and multifaceted task that requires the integration of several advanced technologies. Natural language processing (NLP) is used to understand and interpret the user's descriptions, while computer vision techniques help in recognizing and processing visual information. 3D rendering techniques are then employed to create the final 3D models.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(02)
Openalex Percentile: Top 98%
University-Industry-Government Innovation Models
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Linguistic to 3d Transformation — T. Ratnamala · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) | TGRS Research Map | TGRS