SOTAVerified

Super-Resolution

Super-Resolution is a task in computer vision that involves increasing the resolution of an image or video by generating missing high-frequency details from low-resolution input. The goal is to produce an output image with a higher resolution than the input image, while preserving the original content and structure.

( Credit: MemNet )

Papers

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Showing 626–650 of 3874 papers

TitleStatusHype
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and ResultsCode1
MM-RealSR: Metric Learning based Interactive Modulation for Real-World Super-ResolutionCode1
Semi-Cycled Generative Adversarial Networks for Real-World Face Super-ResolutionCode1
DL4DS -- Deep Learning for empirical DownScalingCode1
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-ResolutionCode1
C3-STISR: Scene Text Image Super-resolution with Triple CluesCode1
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive TransformerCode1
Attentive Fine-Grained Structured Sparsity for Image RestorationCode1
Progressive Training of A Two-Stage Framework for Video RestorationCode1
Deep Model-Based Super-Resolution with Non-uniform BlurCode1
A New Dataset and Transformer for Stereoscopic Video Super-ResolutionCode1
Learn from Unpaired Data for Image Restoration: A Variational Bayes ApproachCode1
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and ResultsCode1
Self-Calibrated Efficient Transformer for Lightweight Super-ResolutionCode1
Edge-enhanced Feature Distillation Network for Efficient Super-ResolutionCode1
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-ResolutionCode1
Cylin-Painting: Seamless 360 Panoramic Image Outpainting and BeyondCode1
Fast and Memory-Efficient Network Towards Efficient Image Super-ResolutionCode1
BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable AlignmentCode1
Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference ModelingCode1
Dual-Stage Approach Toward Hyperspectral Image Super-ResolutionCode1
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-ResolutionCode1
Bayesian Image Super-Resolution with Deep Modeling of Image StatisticsCode1
Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional AutoencoderCode1
Neural Vocoder is All You Need for Speech Super-resolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified