mlsanityData to 14 Oct 2026

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results

arXiv 2505.12089 ↗First posted 17 May 2025eess.IV cs.AI cs.CVcited by 14

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Abstract (arXiv)

This paper reviews the NTIRE 2025 Efficient Burst HDR and Restoration Challenge, which aims to advance efficient multi-frame high dynamic range (HDR) and restoration techniques. The challenge is based on a novel RAW multi-frame fusion dataset, comprising nine noisy and misaligned RAW frames with various exposure levels per scene. Participants were tasked with developing solutions capable of effectively fusing these frames while adhering to strict efficiency constraints: fewer than 30 million model parameters and a computational budget under 4.0 trillion FLOPs. A total of 217 participants registered, with six teams finally submitting valid solutions. The top-performing approach achieved a PSNR of 43.22 dB, showcasing the potential of novel methods in this domain. This paper provides a comprehensive overview of the challenge, compares the proposed solutions, and serves as a valuable reference for researchers and practitioners in efficient burst HDR and restoration.

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Builds on 72 of its 114 references that are in the map. First posted on arXiv 17 May 2025.

Builds on

72 of 114 references.

References · 72

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38 more
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Citing papers per year: 2025: 10; 2026: 4.

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