brain-research/self-attention-gan

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1019 stars · 176 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A TensorFlow implementation of Self-Attention GANs for reproducing results from the paper 'Self-Attention Generative Adversarial Networks' by Zhang, Goodfellow et al. It includes training and evaluation scripts for ImageNet with self-attention layers in generator and discriminator networks.

Use cases

• reproduce sagan imagenet results
• train a self-attention gan
• generate images with a gan
• study self-attention in generative models
• implement spectral normalization in tensorflow

When to choose

• you need a reference implementation of the SAGAN paper
• you want to experiment with self-attention GANs in TensorFlow 1.x
• you are doing research on generative adversarial networks

When to avoid

• you need a maintained or modern framework
• you use TensorFlow 2.x or PyTorch
• you lack multi-GPU resources since training takes weeks

Facets

library · maturity maintenance

machine-learning deep-learning image-processing deep-learning machine-learning image-processing python gan generative-adversarial-networks self-attention tensorflow research-code image-generation spectral-normalization linux gpu

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