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 901–925 of 3874 papers

TitleStatusHype
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
Revisiting RCAN: Improved Training for Image Super-ResolutionCode1
2DQuant: Low-bit Post-Training Quantization for Image Super-ResolutionCode1
Efficient Image Super-Resolution Using Pixel AttentionCode1
RF-ULM: Ultrasound Localization Microscopy Learned from Radio-Frequency WavefrontsCode1
Enriched CNN-Transformer Feature Aggregation Networks for Super-ResolutionCode1
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-ResolutionCode1
Beyond the Spectrum: Detecting Deepfakes via Re-SynthesisCode1
Deep Semantic Statistics Matching (D2SM) Denoising NetworkCode1
BF-STVSR: B-Splines and Fourier-Best Friends for High Fidelity Spatial-Temporal Video Super-ResolutionCode1
Deep Space-Time Video Upsampling NetworksCode1
BF-STVSR: B-Splines and Fourier---Best Friends for High Fidelity Spatial-Temporal Video Super-ResolutionCode1
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and ReconstructionCode1
RZSR: Reference-based Zero-Shot Super-Resolution with Depth Guided Self-ExemplarsCode1
Sampling Generative NetworksCode1
Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-ResolutionCode1
Edge and Identity Preserving Network for Face Super-ResolutionCode1
Scale-wise Convolution for Image RestorationCode1
Accelerating the Super-Resolution Convolutional Neural NetworkCode1
SEAL: A Framework for Systematic Evaluation of Real-World Super-ResolutionCode1
An End-to-end Framework For Low-Resolution Remote Sensing Semantic SegmentationCode1
Sebica: Lightweight Spatial and Efficient Bidirectional Channel Attention Super Resolution NetworkCode1
Edge-enhanced Feature Distillation Network for Efficient Super-ResolutionCode1
Bilateral Event Mining and Complementary for Event Stream Super-ResolutionCode1
B-Spline Texture Coefficients Estimator for Screen Content Image Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified