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wtliao
Text to Image Generation with Semantic-Spatial Aware GAN
Hi, Thanks for providing the code for the paper! I tried to reproduce the FID score on the COCO dataset by generating images for the validation dataset as reported in...
Hello，I test the trained models from your onedrive in COCO，the FID score is 28.1929. It has a big gap with the paper data (19.37) . My FID code is from...
What function/script shall be the one used for inference task?
Traceback (most recent call last): File "E:\Project\pythonProject\SSA_GAN\main.py", line 549, in gen_sample(text_encoder, netG, device, wordtoix, captions) # generate images with description from user File "E:\Project\pythonProject\SSA_GAN\main.py", line 189, in gen_sample caps[cl][cw] =...
In the paper, it is mentioned that the text_encoder will be fixed during the image synthesis training. However, in the provided code, the text_encoder is frozen, meaning it won’t be...
AttnGAN-master\code>python pretrain_DAMSM.py --cfg cfg/DAMSM/bird.yml --gpu 0 Using config: {'B_VALIDATION': False, 'CONFIG_NAME': 'DAMSM', 'CUDA': True, 'DATASET_NAME': 'birds', 'DATA_DIR': '../data/birds', 'GAN': {'B_ATTENTION': True, 'B_DCGAN': False, 'CONDITION_DIM': 100, 'DF_DIM': 64, 'GF_DIM': 128, 'R_NUM':...
The test set for the CUB dataset has only 2933 images, and the official FID calculation method requires at least 10k generated images for the validity of the FID values....
