Computing Art

• Interdisciplinary Innovations:

• AI-Driven Artistic Tools: Building interactive AI painting platforms to facilitate collaborative creation between artists and AI.

• Philosophical Integration of Art and Technology: Investigating ethical challenges (e.g., copyright, authorship) in AI-generated art and proposing sustainable human-AI co-creation paradigms.

• Educational Technology: Applying AI painting techniques to STEAM education, such as the "Spiral Sudoku Blended Learning" model, to foster creativity and logical thinking.

• Impact: Research recognized in ACM Computing Surveys (Top 1 journal in CS theory) and presented at ACM SIGGRAPH (premier conference in computer graphics).

Research Features

• Interdisciplinarity: Combines computer science, art, and pedagogy, emphasizing both technical rigor and humanistic values.

• Cutting-Edge Technologies: Supported by National Natural Science Foundation projects, focusing on diffusion models, lightweight networks, and real-world problem-solving.

• Industry-Academia Collaboration: Partners with companies like Zhuhai Vision Technology to industrialize AI algorithms in smart healthcare and industrial design.

Join the Research Group to Engage in:

• National-level projects exploring frontier AI models and vision algorithms;

• Cross-border collaborations with institutions like Hong Kong Polytechnic University;

• End-to-end research from theory to application, with opportunities for high-impact publications or patents.

Together, Let’s Shape the Future of AI-Powered Art and Vision Science!