TIGER, a text-to-image GAN that stacks CLIP and DINO representations in the discriminator, reports FID 5.48 on COCO and 9.38 on CUB, surpassing prior GAN and some diffusion baselines.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
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Text-to-Image GAN with Pretrained Representations
TIGER, a text-to-image GAN that stacks CLIP and DINO representations in the discriminator, reports FID 5.48 on COCO and 9.38 on CUB, surpassing prior GAN and some diffusion baselines.