Generative AI for Computer Graphics

Generative AI has emerged as a transformative force in the realm of computer graphics, offering innovative methods that push the boundaries of creativity, efficiency, and realism. In this special issue, we delve into the myriad ways in which generative AI is reshaping the field, with six articles that explore its applications across a wide range of topics. These contributions cover advancements in neural networks for image generation, AI-assisted design tools, deep learning techniques for realistic simulations, and the future of AI-driven animation. By examining both the theoretical and practical implications of these developments, this issue provides a comprehensive overview of how generative AI is enhancing the art and science of computer graphics. As the field continues to evolve, the articles in this issue offer a glimpse into the exciting possibilities that lie ahead, illuminating the potential of AI to redefine creative workflows and technical innovations in graphics.

Authors

Institutions

Publication Details

Journal
IEEE Computer Graphics and Applications
Published
2025-03-01
DOI
https://doi.org/10.1109/mcg.2025.3574915
Citations
3
Primary Topic
3D Shape Modeling and Analysis
Type
article
Field-Weighted Citation Impact
4.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generative AI for Computer Graphics

Vinicius Azevedo, Tomasz Bednarz, Doug Roble, Rajesh Sharma
3 citations
IEEE Computer Graphics and Applications
3D Shape Modeling and Analysis
4.00
article

Generative AI for Computer Graphics

Vinicius Azevedo, Tomasz Bednarz, Doug Roble, Rajesh Sharma
article en
3 citations

Abstract

Generative AI has emerged as a transformative force in the realm of computer graphics, offering innovative methods that push the boundaries of creativity, efficiency, and realism. In this special issue, we delve into the myriad ways in which generative AI is reshaping the field, with six articles that explore its applications across a wide range of topics. These contributions cover advancements in neural networks for image generation, AI-assisted design tools, deep learning techniques for realistic simulations, and the future of AI-driven animation. By examining both the theoretical and practical implications of these developments, this issue provides a comprehensive overview of how generative AI is enhancing the art and science of computer graphics. As the field continues to evolve, the articles in this issue offer a glimpse into the exciting possibilities that lie ahead, illuminating the potential of AI to redefine creative workflows and technical innovations in graphics.

IEEE Computer Graphics and ApplicationsVol. 45(2)
ETH Zurich (CH), Menlo School (US), Nvidia (United States) (US), Walt Disney (Switzerland) (CH)
Openalex Percentile: Top 7%
3D Shape Modeling and Analysis
4.00
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.