About GAIIP 2026

2026 International Conference on Generative Artificial Intelligence and Image Processing


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The 2026 International Conference on Generative Artificial Intelligence and Image Processing (GAIIP 2026) will be grandly held in Guangzhou, China, from January 30 to February 1, 2026.

GAIIP 2026 will bring together top scholars, technical experts, and industry representatives from the global field of generative artificial intelligence and image processing to jointly discuss the latest research findings and application developments in generative models, deep generative networks, image synthesis and understanding, multimodal generation, and advanced visual computing technologies.

The conference covers Generative Adversarial Networks (GAN), diffusion models, self-supervised learning technologies, large-scale visual data processing, and intelligent algorithms. It focuses on theoretical innovation and engineering practice, and promotes innovative applications and cross-domain integration in multiple fields such as digital content creation, medical image analysis, virtual reality, and autonomous driving.

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Important Dates

Full Paper Submission Date

November 10, 2025

Registration Deadline

December 05, 2025

Final Paper Submission Date

December 30, 2025

Conference Dates

January 30-February 1, 2026

Topics

Call For Papers

hot.gif The topics of interest include, but are not limited to:

Generative AI

New development of generative adversarial networks ( GAN )

Natural language processing and text generation technology

AI-driven music generation system

Application of Generative AI in Image Synthesis

AI-based automatic content generation

The interpretability and transparency of the generative AI model

The application of deep learning in generative AI

Copyright and ethical issues of AI-generated content

Adaptive and multimodal generation techniques

The application of reinforcement learning in generative AI

Image processing

Image enhancement and denoising

Image segmentation and target detection

Medical image processing

Remote sensing image analysis

Image Compression and Coding

Image restoration and reconstruction

Image style migration

Video Analysis and Processing

Multimodal image processing

Image quality assessment

Face recognition and expression analysis

Machine learning 

Broad Learning System

Machine learning

Deep learning

Reinforcement learning

Learning Transfer

Knowledge graph

Path planning

Transfer learning

Generating adversarial networks

Adversarial learning

Dual learning

Distributed learning

Meta-learning 

Artificial intelligence

Machine learning

Data mining

Machine perception

Virtual reality

Natural language processing

Neural network

Deep learning

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Submission

news.gif Please send the full paper(word+pdf) to Submission System: 

Submission System (Chinese)

Submission System  (English)

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Publication

Publication

All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus  for indexing.

Note: All submitted articles should report original results, experimental or theoretical, not previously published or being under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academic. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.