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- Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising85
A novel perspective to solve the problem of spatially adaptive supervision for real-world sRGB image denoising, taking into account the respective characteristics of flat and textured regions in noisy images, and constructing supervisions for them separately.
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- Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report39
The first Mobile AI challenge is introduced, where the target is to develop an end-to-end deep learning-based image denoising solution that can demonstrate high efficiency on smartphone GPUs.
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- NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge22
The RAIM challenge constructed a benchmark for image restoration in the wild, including real-world images with/without reference ground truth in various scenarios from real applications, which improved the state-of-the-art restoration performance and obtained unanimous recognition from all 18 judges.
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- MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results18
The developed solutions in this challenge achieved state-of-the-art performance on Nighttime Flare Removal and a detailed description of all models developed is provided in this paper.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-13. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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