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RealFill: Reference-Driven Generation for Authentic Image Completion

By Luming Tang and others at
LogoCornell University
and
LogoGoogle
Recent advances in generative imagery have brought forth outpainting and inpainting models that can produce high-quality, plausible image content in unknown regions. However, the content these models hallucinate is necessarily inauthentic, since they are unaware of the true scene. In this work, we propose RealFill, a novel generative approach for... Show more
May 14, 2024
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