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
Journey Towards Tiny Perceptual Super-ResolutionCode1
2DQuant: Low-bit Post-Training Quantization for Image Super-ResolutionCode1
KeDuSR: Real-World Dual-Lens Super-Resolution via Kernel-Free MatchingCode1
L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B ImageryCode1
Single Image Super-Resolution Based on Capsule Neural NetworksCode1
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
Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-ResolutionCode1
Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference ModelingCode1
Sliding Window Recurrent Network for Efficient Video Super-ResolutionCode1
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-ResolutionCode1
An End-to-end Framework For Low-Resolution Remote Sensing Semantic SegmentationCode1
Large Kernel Distillation Network for Efficient Single Image Super-ResolutionCode1
Accelerating the Super-Resolution Convolutional Neural NetworkCode1
Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion ModelsCode1
Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and ReconstructionCode1
LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion ModelsCode1
Deep Unfolding Network for Image 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