The invention relates to the technical field of AIGC
content generation, discloses an AIGC
content generation method and
system based on multi-
modal fusion, and aims to solve the problems of decentralization, low efficiency and insufficient originality of a traditional
content generation tool. Multi-
modal data such as texts, images, videos and audios are integrated, user intentions are analyzed in combination with intelligent retrieval and
a domain knowledge base, automatic generation from multi-
modal input to high-quality creative content is achieved, a cross-modal collaborative generation technology is adopted, semantic features are dynamically aligned, and logically coherent content is generated. The content emotional value is enhanced through an emotional analysis and dynamic optimization strategy, the homogenization
bottleneck is broken through, meanwhile, an automatic quality evaluation and format
adaptation mechanism is integrated, deep application of scenes such as text travel, advertisement, e-commerce and interactive network television service is supported, marketing
copywriting, short videos and cross-platform distribution schemes can be efficiently generated, and the market competitiveness is improved. And the
content production efficiency and the creativity transmission are obviously improved.