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About this paper
Kiet T. Nguyen, Chanhyuk Lee, Donggyun Kim, Dong Hoon Lee, Seunghoon Hong
Universal Few-Shot Control (UFC) enables text-to-image diffusion models to generate images with precise spatial control from novel conditions using only a few dozen annotated examples. It achieves this by integrating a universal control adapter that unifies diverse spatial signals via patch-wise matching and efficient fine-tuning, demonstrating competitive controllability and image quality compared to fully supervised methods.
Key insights
- Unifying diverse spatial conditions can be achieved by interpolating task-agnostic visual features from a small support set, creating a consistent control feature space.
- Patch-wise similarity matching of condition features from query to support examples is critical for leveraging limited data effectively and providing fine-grained spatial guidance.
- Employing parameter-efficient fine-tuning for only a small subset of parameters enables robust few-shot adaptation to novel tasks while preserving generative quality.
Summary by alphaXiv.
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