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 701–725 of 3874 papers

TitleStatusHype
Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale LearningCode1
Lightweight Modules for Efficient Deep Learning based Image RestorationCode1
End-to-end Alternating Optimization for Blind Super ResolutionCode1
EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-ResolutionCode1
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-ResolutionCode1
A new public Alsat-2B dataset for single-image super-resolutionCode1
Creating High Resolution Images with a Latent Adversarial GeneratorCode1
End-to-end Alternating Optimization for Real-World Blind Super ResolutionCode1
LMLT: Low-to-high Multi-Level Vision Transformer for Image Super-ResolutionCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-ResolutionCode1
Enhanced Semantic Extraction and Guidance for UGC Image Super ResolutionCode1
Enhanced Deep Residual Networks for Single Image Super-ResolutionCode1
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV MinimizationCode1
Deep Adaptive Inference Networks for Single Image Super-ResolutionCode1
Local Implicit Wavelet Transformer for Arbitrary-Scale Super-ResolutionCode1
Enhancement of Anime Imaging Enlargement using Modified Super-Resolution CNNCode1
Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference ModelingCode1
CADyQ: Content-Aware Dynamic Quantization for Image Super-ResolutionCode1
Cross-Resolution Flow Propagation for Foveated Video Super-ResolutionCode1
Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance PursuitCode1
Cross-Scale Internal Graph Neural Network for Image Super-ResolutionCode1
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-ResolutionCode1
Cross-Scope Spatial-Spectral Information Aggregation for Hyperspectral Image Super-ResolutionCode1
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder ApproachCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified