

In recent years, generative artificial intelligence (Generative AI) technology has shown tremendous potential and impact in various domains of digital media art, including artistic creation, film production, and game design. From Generative Adversarial Networks (GANs) to AI-driven music and image creation tools, these technologies not only foster new forms of artistic creation but also redefine the production processes of the creative industry. As technology continues to advance and become more widespread, artists and developers can explore the limitless possibilities of AI in artistic expression more deeply and broadly.
The vision of 2026 2nd International Conference on Generative AI and Digital Media Arts (GAIDMA 2026) is to become an international platform that promotes interdisciplinary exchanges and collaborations, inspires innovative thinking, and advances the integration and development of generative AI with digital media art. The conference will provide an inclusive and diverse environment, encouraging participants to showcase the latest research findings, artistic practices, technological applications, and creative products.

Through this conference, we aim to:
Explore the practical applications and theoretical frontiers of generative AI in art creation, design, and media production.
Bridge academic research with industry needs to foster the integration of technological innovation and commercial application.
Broaden the dialogue between artists, tech experts, and the industry to promote cross-disciplinary cooperation.
Investigate the harmonious coexistence of AI technology and human creativity, contributing new ideas to the future digital art ecosystem.
GAIDMA 2026 looks forward to your participation in opening a new era of generative AI and digital media art together
![]() | Full Paper Submission Deadline July 3, 2026 |
![]() | Notification of Acceptance August 3, 2026 |
![]() | Registration Deadline August 18, 2026 |
![]() | Conference Dates September 18-20, 2026 |


Generative AI Technologies
Deep Learning
Video Generation
Data Augmentation
Multimedia Analysis
Machine Reasoning
Visual Content Generation
Artificial Neural Networks
Mobile Computing
Visual Analysis

Computational Media and Art
Augmented Reality (AR)
Virtual Reality (VR)
Virtual Production
Interactive Music
Game Design
Design and Data Visualization
Computer Animation
Digital Storytelling
Digital Technologies and Manufacturing

Computer Vision and Image Processing
Generative Adversarial Networks (GANs)
Generative Modeling Techniques
Language Pre-training
Visual Pre-training
Joint Pre-training
Autoregressive Models
Legal Use of Generative AI
Information and Privacy Protection
Intrusion Detection Techniques
Security Surveillance
Decryption and Encryption Techniques


Conference Secretary: Millie Lee
Tel: +86-13922157154 (Wechat)
E-Mail: gaidma@163.com
If you have any questions or inquiries, please feel free to contact us.