基于单阶段生成对抗网络的文本生成图像方法

杨冰,那巍,向学勤

Text-to-image generation method based on single stage generative adversarial network

Bing YANG,Wei NA,Xue-qin XIANG

表 1 CUB和COCO数据集上各个模型FID得分比较

Tab.1 Performance of FID scores compared with different models in CUB and COCO datasets

模型 来源 FID CUB COCO AttnGAN[3] CVPR18 23.98 35.49 DM-GAN[17] CVPR19 16.09 32.64 SE-GAN[9] ICCV19 18.17 32.28 VICTR[27] COLING20 — 32.37 OP-GAN[28] TPAMI20 — 25.80 DAE-GAN[29] ICCV21 15.19 28.12 CL[15] BMVC21 14.38 20.79 MDD[30] TMM21 15.76 24.30 KD-GAN[31] TMM21 13.89 23.92 DF-GAN[5] CVPR22 14.81 21.42 SSA-GAN[10] CVPR22 15.61 19.37 RAT-GAN[11] arXiv 13.91 14.60 DF-GAN (预训练)[5] GitHub 12.10 15.41 本研究 — 10.36 12.74