Guest Editors
Dr. Wanwan Li
Email: wanwan-li@utulsa.edu
Affiliation: Tandy School of Computer Science, The University of Tulsa, Tulsa, 74104, United State
Homepage:
Research Interests: computer graphics (CG), virtual reality (VR), augmented reality (AR), augmented virtuality (AV), e-edutainment, e-learning, computational design, procedural modeling, scientific simulation, deep learning, sketch-based interface, text-based interface
Summary
The rapid evolution of image generation technologies has significantly transformed the fields of computer vision, artificial intelligence, and immersive media. As the demand for intelligent visual content creation continues to grow, research in this area has become both technically critical and widely impactful.
This Special Issue aims to gather high-quality research that explores innovative methods and applications in image generation. The scope includes foundational models, novel architectures, and interdisciplinary approaches that advance the capabilities of visual content creation. We particularly welcome contributions that address emerging challenges and leverage generative AI in creative and practical domains, including virtual and augmented reality.
Suggested Themes:
· Generative Adversarial Networks (GANs)
· Diffusion Models
· Text-to-Image Synthesis
· Image-to-Image Translation
· 3D Image Generation
· 3D Model Generation
· Generative AI for eXtended Reality (XR)
Keywords
Image Generation, Generative Adversarial Networks (GANs), Diffusion Models, Text-to-Image Synthesis, Image-to-Image Translation, 3D Generation, Generative AI, eXtended Reality (XR), Deep Learning, Visual Content Creation
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