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Found 7 papers, 6 papers with code
Efficient Degradation-aware Any Image Restoration
Reconstructing missing details from degraded low-quality inputs poses a significant challenge.
NTIRE 2024 Challenge on Image Super-Resolution ($\times$4): Methods and Results
This paper reviews the NTIRE 2024 challenge on image super-resolution ($\times$4), highlighting the solutions proposed and the outcomes obtained.
See More Details: Efficient Image Super-Resolution by Experts Mining
Subsequently, the model delves into the subtleties of rank choice by leveraging a mixture of low-rank experts.
Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report
This paper introduces a novel benchmark for efficient upscaling as part of the NTIRE 2023 Real-Time Image Super-Resolution (RTSR) Challenge, which aimed to upscale images from 720p and 1080p resolution to native 4K (x2 and x3 factors) in real-time on commercial GPUs.
Towards Real-Time 4K Image Super-Resolution
Over the past few years, high-definition videos and images in 720p (HD), 1080p (FHD), and 4K (UHD) resolution have become standard.
SQAD: Automatic Smartphone Camera Quality Assessment and Benchmarking
Smartphone photography is becoming increasingly popular, but fitting high-performing camera systems within the given space limitations remains a challenge for manufacturers.
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
The lack of out-of-domain generalization is a critical weakness of deep networks for semantic segmentation.
