most citedEfficient generative adversarial networks using linear additive-attention Transformers

2 citations · 2 across the 1 of their papers we have counts for

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cs.CV2024★ 2 cited

Efficient generative adversarial networks using linear additive-attention Transformers

Emilio Morales-Juarez, Gibran Fuentes-Pineda

Although deep generative models such as Diffusion Models (DMs) and Generative Adversarial Networks (GANs) achieve remarkable image generation performance, they often rely on comput…