ViT-22B vs Imagen
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ViT-22B
ViT-22B is a vision transformer model developed by Google Research and released in 2023. With 22 billion parameters, it represented one of the largest vision transformer architectures at the time of publication, demonstrating how scaling laws that had been established for language models might also apply to computer vision tasks. The model was trained using a dataset of billions of images and achi...
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Imagen
Imagen is a text-to-image diffusion model introduced by Google Research in 2022. The model is distinguished by its architecture, which combines a frozen large language model for text processing with a cascaded diffusion model for image generation. This design allows Imagen to produce highly photorealistic images that accurately reflect complex textual prompts. The model was initially presented in...
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