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About 1 min readHierarchical Text-Conditional Image Generation with CLIP Latents
"DALL-E 3" aracının arkasındaki bilimsel makalenin özeti.
This paper introduces a hierarchical approach to text-conditional image generation. It leverages the CLIP (Contrastive Language-Image Pre-training) model to encode text descriptions into latent space and then uses a diffusion model to generate images based on these CLIP latents. This allows for generating high-quality images that align well with the given text prompts, by breaking down the image generation process into multiple stages.
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