NSD uses a contrastively learned style embedding from the input image itself, fed through a second cross-attention branch, to make diffusion-based inpainting results match the surrounding scene's style.
Imagereward: Learning and evaluating human preferences for text-to-image generation
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Neural Scene Designer: Self-Styled Semantic Image Manipulation
NSD uses a contrastively learned style embedding from the input image itself, fed through a second cross-attention branch, to make diffusion-based inpainting results match the surrounding scene's style.