Self-Attention GANs
Aravind discusses the integration of self-attention in lower image resolutions for GANs, highlighting the challenge of applying self-attention in high-resolution images due to computational constraints. He explores the balance between downsampling and utilizing self-attention efficiently in image generation architectures.In this clip
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Machine Learning Street Talk (MLST)
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