Article

Zero-Shot Image Super-Resolution Using Prompt-Driven Vision-Language Foundation Models Without Task-Specific Fine-Tuning

2025-09-01

Abstract excerpt

<title>Abstract</title> <p>The paper proposes a new direction in image super-resolution (SR) through developing a prompt-guided, zero-shot framework based on the semantic properties of Vision-Language Foundation Models (VLFMs) combined with the generative diffusion backbones. Traditional SR models usually demand supervised training with correlated pairs of low-resolution and high-resolution images, being hindered...

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Literature Corpus work: 3be6659d-fcc7-5b55-9e77-97c27b585edc
DOI: 10.21203/rs.3.rs-7346896/v1

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