Due to time constraints, the code organization was not as concise as desired. The training files for various configurations in the paper are described as follows:
1. viton_train_revise_6.sh serves as the training implementation for Variant 1.
2. viton_train_revise_3_2.sh is designed for the training process of Variant 2.

3. viton_5.sh is used for optimizing single VTON or VTOFF tasks and exploring variations in the other task.
4. viton_train_revise_4.sh handles the training process of the TWTDM model.
5. test_global_local_5.py can perform inference on two tasks by adjusting the input data.

6. eval.sh 测试tryon指标
7. eval_2.sh 测试tryoff指标
