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  • Imagen: Text-to-Image Diffusion Models
    Imagen achieves a new state-of-the-art FID score of 7 27 on the COCO dataset, without ever training on COCO, and human raters find Imagen samples to be on par with the COCO data itself in image-text alignment To assess text-to-image models in greater depth, we introduce DrawBench, a comprehensive and challenging benchmark for text-to-image models
  • Imagen Video
    Generative modeling has made tremendous progress, especially in recent text-to-image models Imagen Video is another step forward in generative modelling capabilities, advancing text-to-video AI systems Video generative models can be used to positively impact society, for example by amplifying and augmenting human creativity
  • Imagen Editor EditBench
    Imagen Editor EditBench Advancing and Evaluating Text-Guided Image Inpainting Text-guided image editing can have a transformative impact in supporting creative applications A key challenge is to generate edits that are faithful to input text prompts, while consistent with input images
  • Photorealistic Text-to-Image Diffusion Models with Deep Language . . .
    We present Imagen, a text-to-image diffusion model with an unprecedented degree of photorealism and a deep level of language understanding Imagen builds on the power of large transformer language models in understanding text and hinges on the strength of diffusion models in high-fidelity image generation Our key discovery is that generic large language models (e g T5), pretrained on text





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