mlsanityData to 14 Oct 2026

NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results

arXiv 2504.14600 ↗First posted 20 Apr 2025cs.CVcited by 10

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Abstract (arXiv)

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.

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 58 of its 89 references that are in the map. First posted on arXiv 20 Apr 2025.

Builds on

58 of 89 references.

References · 58

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38 more
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 9; 2026: 1.

10 papers.