NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results
Journal:
arXiv
Published Date:
Apr 20, 2025
Abstract
This paper provides a review of the NTIRE 2025 challenge on real-world face
restoration, highlighting the proposed solutions and the resulting outcomes.
The challenge focuses on generating natural, realistic outputs while
maintaining identity consistency. Its goal is to advance state-of-the-art
solutions for perceptual quality and realism, without imposing constraints on
computational resources or training data. The track of the challenge evaluates
performance using a weighted image quality assessment (IQA) score and employs
the AdaFace model as an identity checker. The competition attracted 141
registrants, with 13 teams submitting valid models, and ultimately, 10 teams
achieved a valid score in the final ranking. This collaborative effort advances
the performance of real-world face restoration while offering an in-depth
overview of the latest trends in the field.
