AI-based digital human generation method and digital human live broadcast system

The invention relates to the technical field of artificial intelligence, in particular to an AI-based digital human generation method and a digital human live broadcast system, and the method comprises the following steps: based on adult state data, extracting and reversely reconstructing time sequence features layer by layer through a multi-layer convolutional neural network structure by adopting a reverse time convolutional network; gradually backtracking from an adult state to a young state, and generating a life cycle data sequence. According to the method, the life cycle of the digital figure is accurately simulated through the reverse time convolution network, exquisite and real role development is provided, the adaptability and diversity of the genetic algorithm in morphological feature generation are enhanced, the digital figure is more natural and vivid in the virtual environment, the decision strategy is optimized through the enhanced game theory model, and the method is more practical. The interact