Papers › Self-Supervised GANs via Auxiliary Rotation Loss

Self-Supervised GANs via Auxiliary Rotation Loss

27 Nov 2018CVPR 2019 6arXiv:1811.11212archive 2025-07-28

Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby

Conditional GANs are at the forefront of natural image synthesis. The main drawback of such models is the necessity for labeled data. In this work we exploit two popular unsupervised learning techniques, adversarial training and self-supervision, and take a step towards bridging the gap between conditional and unconditional GANs. In particular, we allow the networks to collaborate on the task of representation learning, while being adversarial with respect to the classic GAN game. The role of self-supervision is to encourage the discriminator to learn meaningful feature representations which are not forgotten during training. We test empirically both the quality of the learned image representations, and the quality of the synthesized images. Under the same conditions, the self-supervised GAN attains a similar performance to state-of-the-art conditional counterparts. Finally, we show that this approach to fully unsupervised learning can be scaled to attain an FID of 23.4 on unconditional ImageNet generation.

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google/compare_gan officialmentioned in papermentioned on GitHubtfApache-2.0 report
vandit15/Self-Supervised-Gans-Pytorch mentioned on GitHubpytorchMIT report
zhangqianhui/Self-Supervised-GANs mentioned on GitHubtfApache-2.0 report

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conv2d zhangqianhui/Self-Supervised-GANs/ops.py community (archive-listed) unverified Apache-2.0 (permissive) · 8f6578938a03667d · report
conv_cond_concat vandit15/Self-Supervised-Gans-Pytorch/ops.py community (archive-listed) unverified MIT (permissive) · bc3f0c5701ef3b57 · report
download_cifar10 zhangqianhui/Self-Supervised-GANs/download.py community (archive-listed) unverified Apache-2.0 (permissive) · 800619dde7521a77 · report
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get_fashion_mnist_dataloaders vandit15/Self-Supervised-Gans-Pytorch/dataloaders.py community (archive-listed) unverified MIT (permissive) · 2e236e0534c38e3b · report
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lrelu zhangqianhui/Self-Supervised-GANs/ops.py community (archive-listed) unverified Apache-2.0 (permissive) · 207527695edefd17 · report
spectral_norm vandit15/Self-Supervised-Gans-Pytorch/ops.py community (archive-listed) unverified MIT (permissive) · ba12c98b75e5b17a · report

Tasks

Image GenerationRepresentation Learning

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Image Generation CelebA-HQ 128x128 SS-GAN (sBN) FID 24.36 #6 of 7 Archive leaderboard report
Image Generation ImageNet 128x128 SS-GAN (sBN) FID 43.87 #23 of 23 Archive leaderboard report
Image Generation LSUN Bedroom 256 x 256 SS-GAN (sBN) FID 13.3 #18 of 32 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

Convolution

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