Imagen
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About
Imagen is a text-to-image diffusion model developed by Google Research, Brain Team. It focuses on photorealism and language understanding. Imagen uses a large transformer language model (T5) and diffusion models for image generation. A key finding is that large language models are effective at encoding text for image synthesis. Increasing the language model size boosts sample fidelity and image-text alignment. It achieves a state-of-the-art FID score of 7.27 on the COCO dataset (without training on it). Imagen also includes DrawBench, a benchmark for text-to-image models. The creators decided not to release code or a public demo.
Platform
Task
Features
• text-to-image generation
• deep language understanding
• drawbench benchmark
• efficient u-net architecture
• cascaded diffusion models
• photorealistic image generation
• large pretrained language models
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