Before revision:  We achieve an FID of 2.97 on ImageNet 128 \times 128 \times128 , 4.59 on ImageNet 256 \times 256 \times256 , and 7.72 on ImageNet 512 \times 512 \times512 , and we match BigGAN-deep even with as few as 25 forward passes per sample, all while maintaining better coverage of the distribution.
After revision:  We achieve an FID of 2.97 on ImageNet 128 \times 128 \times128 , 4.59 on ImageNet 256 \times 256 \times256 , and 7.72 on ImageNet 512 \times512 , and we match BigGAN-deep even with as few as 25 forward passes per sample, all while maintaining better coverage of the distribution.