Google Inc.

Yandong Li

Marius Renn

Chun-Te Chu

Xuhui Jia

Yukun Zhu

Bradley Ray Green

Yu-Chuan Su

Yang Zhao

Systems and methods for training a restoration model can leverage training for two sub-tasks to train the restoration model to generate realistic and identity-preserved outputs. The systems and methods can balance the training of the generation task and the reconstruction task to ensure the generated outputs preserve the identity of the original subject while generating realistic outputs. The systems and methods can further leverage a feature quantization model and skip connections to improve the model output and overall training.

Training a restoration model for balanced generation and reconstruction

Growing community of inventors

Orlando, FL, United States of America

Yandong Li