The rapid iteration of Artificial Intelligence Generated Content (AIGC) has reshaped the creative logic, production processes and communication forms of new media visual works. Traditional creation modes such as hand-painting, on-site shooting and post-production suffer from low efficiency, high technical barriers and limited creative productivity. With core functions including text-to-image, image-to-image, intelligent image retouching and style migration, AIGC has penetrated the whole process of new media visual creation. It effectively cuts creation costs, improves production efficiency and expands the boundaries of artistic expression. Combined with the practical experience of the new media industry, this paper sorts out the application scenarios of AIGC in creating posters, graphic works, AI comics, dynamic visuals and panoramic images. It also analyzes the advantages and existing drawbacks of the technology. From the perspectives of workflow optimization, human-computer collaboration, copyright governance and ethical norms, this paper puts forward targeted optimization strategies. The research aims to provide theoretical references and practical suggestions for new media practitioners to properly apply AIGC and realize the in-depth integration of technology and art.

Sun He. Research on the Application of AIGC Technology in the Creation of New Media Visual Works. The Frontiers of Society, Science and Technology (2026), Vol. 8, Issue 2: 87-92. https://doi.org/10.25236/FSST.2026.080212.

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