Shou-Jun Tang

Application of GAN-based facial reconstruction and recognition system based on dense connection modules

To address the issues of detail distortion and difficulty in preserving identity features in existing facial restoration methods under complex damage conditions, a collaborative restoration and recognition framework based on densely connected generative adversarial networks is proposed. This method integrates multi-sca...