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Welcome to GAIIP

2027 2nd International Conference on Generative Artificial Intelligence and Image Processing

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About

About GAIIP

The 2027 2nd International Conference on Generative Artificial Intelligence and Image Processing (GAIIP 2027) will be held in Guangzhou, China, from March 5 to 7, 2027.

GAIIP 2027 will bring together scholars, technical experts, researchers, and industry representatives from around the world in the fields of generative artificial intelligence and image processing to discuss the latest research findings and application developments in generative models, deep learning, image synthesis and understanding, multimodal generation, computer vision, and intelligent image processing technologies.

The conference covers generative artificial intelligence, diffusion models, self-supervised learning, multimodal generation, large-scale visual data processing, image enhancement and recognition, and intelligent algorithms. It focuses on theoretical innovation and practical applications, promoting technological innovation and cross-disciplinary integration in areas such as digital content creation, medical image analysis, intelligent vision, virtual reality, and autonomous driving.

Important Dates

Important Dates

Full Paper

Submission Date

December

15

2026

Notification Of 

Acceptance Date

January

19

2027

Final Paper 

Submission Date

February

3

2027

Registration 

Deadline

February

18

2027

CFP

Topics

The topics of interest for submission include, but are not limited to:

📚︎Generative AI Foundations and Models

· GAN architectures and evolution

· Natural language generation models 

· Multimodal generative techniques 

· Deep learning for generative AI

· Reinforcement learning in generative AI

· Adaptive generation models 

· Model interpretability and transparency

· Neural generative systems

· Meta-learning and few-shot generation 

· Adversarial learning methods

📚︎Generative AI Applications and Ethics

· AI-driven music generation 

· AI image synthesis systems

· Automatic AI content generation 

· Generative AI in multimodal creation

· Virtual reality and generative AI 

· AI-generated content copyright

· Generative AI ethics and governance

· Knowledge graph-driven generation

· Generative applications in media

· Emerging generative AI technologies

📚︎Image Processing and Computer Vision

· Image enhancement and denoising 

· Image segmentation and object detection

· Image restoration and reconstruction

· Image compression and coding

· Image style transfer

· Video analysis and processing

· Multimodal image processing

· Image quality assessment

· Face recognition and expression analysis

· Remote sensing image analysis

📚︎Intelligent Image Analysis and Machine Learning

· Machine learning for image processing

· Deep learning visual models

· Medical image analysis and processing

· Broad learning systems for vision

· Transfer learning for image recognition

· Distributed image learning algorithms

· Data mining from visual data

· Machine perception and visual understanding

· Knowledge graphs in image understanding

· Adversarial learning for image modeling

Publication

Publication

All submissions to GAIIP 2027 will be reviewed by 2–3 committee experts. After rigorous peer review, all accepted papers will be published by a formal publisher. Once published, the papers will be submitted by the publisher to EI Compendex and Scopus for indexing.

Note: All submitted articles should report original research results, experimental or theoretical, not previously published or 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 academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

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Organizer


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