Resolving Ambiguity in Image Super-resolution via Diffusion Models and Human Feedback

Authors: Cansu Korkmaz, Ege Cirakman, A. Murat Tekalp, Zafer Dogan

Venue: IEEE International Conference on Image Processing (ICIP) 2024, Abu Dhabi, UAE, 27-30 October 2024

Resolving Ambiguity in Image Super-resolution

Overview

This paper presents a novel approach to resolve ambiguity in image super-resolution by combining diffusion models with human feedback mechanisms. The method leverages the generative capabilities of diffusion models while incorporating human preferences to guide the super-resolution process, leading to more accurate and perceptually pleasing results that align with user expectations.

Key Contributions

  • Human feedback integration in diffusion-based super-resolution
  • Ambiguity resolution framework
  • Improved perceptual quality and user satisfaction

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