Hello,
Thank you for sharing the code. I have a question regarding the edit_one_image function for makeup transfer.
Based on the instructions provided, it seems that running the command:
python main.py --edit_one_image_MT --config celeba.yml --exp ./runs/test --n_iter 1 --t_0 60 --n_inv_step 20 --n_train_step 6 --n_test_step 6 --img_path {IMG_PATH} --model_path {MODEL_PATH}
should generate an adversarial makeup image for the file specified in {IMG_PATH}.
However, after reviewing & running the implementation, I couldn’t find where the adversarial optimization is carried out within the edit_one_image function.
Am I misunderstanding the purpose of the edit_one_image function, or is it not intended to generate an adversarial makeup image? If it’s not, could you please advise on how I might apply your method to my custom dataset?
Thank you for your assistance.
Hello,
Thank you for sharing the code. I have a question regarding the
edit_one_imagefunction for makeup transfer.Based on the instructions provided, it seems that running the command:
python main.py --edit_one_image_MT --config celeba.yml --exp ./runs/test --n_iter 1 --t_0 60 --n_inv_step 20 --n_train_step 6 --n_test_step 6 --img_path {IMG_PATH} --model_path {MODEL_PATH}should generate an adversarial makeup image for the file specified in {IMG_PATH}.
However, after reviewing & running the implementation, I couldn’t find where the adversarial optimization is carried out within the edit_one_image function.
Am I misunderstanding the purpose of the edit_one_image function, or is it not intended to generate an adversarial makeup image? If it’s not, could you please advise on how I might apply your method to my custom dataset?
Thank you for your assistance.