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AgeFlow: Conditional Age Progression and Regression with Normalizing Flows (IJCAI 2021)

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when I run python train.py --batch_size 16 --max_iter 1000000 --n_flow 32 --n_block 4 --n_bits 5 --lr 1e-4 --img_size 64 --temp 0.7 --gradient_accumulation_steps 1 --checkpoint_iter 100000 --generation_iter 100 --dataset_name FFHQ --network_config...

Hello! It's really a nice work to build a invertible conditional translation based on flow. Could you please tell me the code of invertible conditional translation module (ICTM) and consistency...