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Google’s MaskGIT Outperforms SOTA Transformer Models on Conditional Image Generation and Accelerates Autoregressive Decoding by up to 64x
Feb. 14, 2022, 4:05 p.m. | Synced
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A Google Research team proposes Masked Generative Image Transformer (MaskGIT), a novel image synthesis paradigm that uses a bidirectional transformer decoder. MaskGIT significantly outperforms state-of-the-art transformer models on the ImageNet dataset and accelerates autoregressive decoding by up to 64x.
The post Google’s MaskGIT Outperforms SOTA Transformer Models on Conditional Image Generation and Accelerates Autoregressive Decoding by up to 64x first appeared on Synced.
ai artificial intelligence autoregressive models computer vision & graphics google image image generation machine learning machine learning & data science ml research sota technology transformer transformers
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