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Learned Smartphone ISP on Mobile GPUs: Mobile AI 2026 Challenge Report
Andrey Ignatov, Georgy Perevozchikov, Radu Timofte +19
With the increasing importance of mobile camera quality in modern smartphones, growing attention has been directed toward computational photography and advanced image signal proces…
Multi-Scale Representation Learning for Image Restoration with State-Space Model
Yuhong He, Long Peng, Qiaosi Yi +2
Image restoration endeavors to reconstruct a high-quality, detail-rich image from a degraded counterpart, which is a pivotal process in photography and various computer vision syst…
Adaptive Frequency Enhancement Network for Single Image Deraining
Fei Yan, Yuhong He, Keyu Chen +2
Image deraining aims to improve the visibility of images damaged by rainy conditions, targeting the removal of degradation elements such as rain streaks, raindrops, and rain accumu…
MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results
Yuekun Dai, Dafeng Zhang, Xiaoming Li +60
The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algor…
Dual-Path Coupled Image Deraining Network via Spatial-Frequency Interaction
Yuhong He, Aiwen Jiang, Lingfang Jiang +2
Transformers have recently emerged as a significant force in the field of image deraining. Existing image deraining methods utilize extensive research on self-attention. Though sho…
Latent Degradation Representation Constraint for Single Image Deraining
Yuhong He, Long Peng, Lu Wang +1
Since rain streaks show a variety of shapes and directions, learning the degradation representation is extremely challenging for single image deraining. Existing methods are mainly…