Synthetic To Real Translation

"Synthetic-to-Real Translation" is a subtask in the field of computer vision that focuses on domain adaptation from synthetic data to real data. The task aims to improve the generalization and performance of models in real-world scenarios by learning the mapping relationship between synthetic and real data, which holds significant application value.