Text to Image to Text Translation using Cycle Consistent Adversarial networks.

This project tries to improve text to image synthesis using Cycle Gan. You can read our paper here. https://arxiv.org/abs/1808.04538.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
cycleresults		cycleresults
cycleresults220		cycleresults220
cycleresults250		cycleresults250
figures		figures
models		models
nocycle_results		nocycle_results
scripts		scripts
.gitignore		.gitignore
GlobalAttnention.py		GlobalAttnention.py
README.md		README.md
SelfAttention.py		SelfAttention.py
build_vocab.py		build_vocab.py
caption_gan_encoder_decoder_model.py		caption_gan_encoder_decoder_model.py
caption_gan_model.py		caption_gan_model.py
config.yaml		config.yaml
convert_birds_to_skipthought_hd5_script.py		convert_birds_to_skipthought_hd5_script.py
convert_cub_to_hd5_script.py		convert_cub_to_hd5_script.py
convert_flowers_skipthought_hd5_script.py		convert_flowers_skipthought_hd5_script.py
convert_flowers_to_hd5_script.py		convert_flowers_to_hd5_script.py
eval_dataset.py		eval_dataset.py
inception_score.py		inception_score.py
run_all_caption_inference_cycle.sh		run_all_caption_inference_cycle.sh
run_inference_cycle.sh		run_inference_cycle.sh
run_inference_pretrained.sh		run_inference_pretrained.sh
runtime.py		runtime.py
sample.py		sample.py
trainer.py		trainer.py
txt2image_dataset.py		txt2image_dataset.py
utils.py		utils.py

Russzheng/CS280