SmileSculpt: Sculpting Smiles Digitally

In recent years, a significant increase is observed in number of people opting for aesthetic dentistry whereby whitening, repositioning etc are considered for teeth and gum improvements. As per reports[4], in 2022 the global cosmetic dentistry market size reached about 33.6 billion USD and is expected to fourish with an approximated growth range of 13-15% till 2030. Our proposed work introduces SmileSculpt-an innovative method for generating a restructured face using the Generative AI methodology[3].This innovative approach harnesses advanced AI to streamline smile visualization and planning. Utilizing the Stable Diffusion XI model[11] based on latent diffusion, SmileSculpt precisely enhances patient facial images, delivering realistic and personalized smile transformations. SmileSculpt features a user-friendly web interface powered by Gradio[1], democratizing access to cutting-edge dental technology for both patients and practitioners. By simplifying the smile design process, it enables efficient visualization of potential treatment outcomes. This breakthrough in dental care ofers a seamless, accurate, and accessible tool, empowering patients and dentists to achieve optimal smile aesthetics with ease.

Authors

Institutions

Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.03.269
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SmileSculpt: Sculpting Smiles Digitally

Bhandari Vaibhav, Nirali Nanavati, Nalawala Abdul Kadir, Dalal Vansh et al.
Procedia Computer Science
Virtual Reality Applications and Impacts
article

SmileSculpt: Sculpting Smiles Digitally

Bhandari Vaibhav, Nirali Nanavati, Nalawala Abdul Kadir, Dalal Vansh, Joshi Neeraja, Pinak Kapadia
article en

Abstract

In recent years, a significant increase is observed in number of people opting for aesthetic dentistry whereby whitening, repositioning etc are considered for teeth and gum improvements. As per reports[4], in 2022 the global cosmetic dentistry market size reached about 33.6 billion USD and is expected to fourish with an approximated growth range of 13-15% till 2030. Our proposed work introduces SmileSculpt-an innovative method for generating a restructured face using the Generative AI methodology[3].This innovative approach harnesses advanced AI to streamline smile visualization and planning. Utilizing the Stable Diffusion XI model[11] based on latent diffusion, SmileSculpt precisely enhances patient facial images, delivering realistic and personalized smile transformations. SmileSculpt features a user-friendly web interface powered by Gradio[1], democratizing access to cutting-edge dental technology for both patients and practitioners. By simplifying the smile design process, it enables efficient visualization of potential treatment outcomes. This breakthrough in dental care ofers a seamless, accurate, and accessible tool, empowering patients and dentists to achieve optimal smile aesthetics with ease.

Procedia Computer ScienceVol. 260
Sri Dharmasthala Manjunatheshwara College of Dental Sciences & Hospital (IN), Sardar Vallabhbhai National Institute of Technology Surat (IN)
Openalex Percentile: Top 89%
Virtual Reality Applications and Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

SmileSculpt: Sculpting Smiles Digitally — Bhandari Vaibhav, Nirali Nanavati, et al. · Procedia Computer Science (2025) | TGRS Research Map | TGRS