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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 751–775 of 3874 papers

TitleStatusHype
Activating Wider Areas in Image Super-ResolutionCode1
Cylin-Painting: Seamless 360 Panoramic Image Outpainting and BeyondCode1
D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-ResolutionCode1
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrastCode1
Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-ResolutionCode1
Multi-scale Attention Network for Single Image Super-ResolutionCode1
L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B ImageryCode1
DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution NetworksCode1
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large InputCode1
A Tree-guided CNN for image super-resolutionCode1
Attaining Real-Time Super-Resolution for Microscopic Images Using GANCode1
C3-STISR: Scene Text Image Super-resolution with Triple CluesCode1
Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity EstimationCode1
Neural Garment Dynamic Super-ResolutionCode1
Finding Discriminative Filters for Specific Degradations in Blind Super-ResolutionCode1
Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution EvaluationCode1
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
A New Dataset and Transformer for Stereoscopic Video Super-ResolutionCode1
Attention Beats Linear for Fast Implicit Neural Representation GenerationCode1
DDet: Dual-path Dynamic Enhancement Network for Real-World Image Super-ResolutionCode1
DDistill-SR: Reparameterized Dynamic Distillation Network for Lightweight Image Super-ResolutionCode1
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark EstimationCode1
Infrared Image Super-Resolution: Systematic Review, and Future TrendsCode1
Burst Super-Resolution with Diffusion Models for Improving Perceptual QualityCode1
Burstormer: Burst Image Restoration and Enhancement TransformerCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified