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 451–475 of 3874 papers

TitleStatusHype
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuningCode1
DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion ModelsCode1
Beyond the Spectrum: Detecting Deepfakes via Re-SynthesisCode1
BF-STVSR: B-Splines and Fourier-Best Friends for High Fidelity Spatial-Temporal Video Super-ResolutionCode1
Context-self contrastive pretraining for crop type semantic segmentationCode1
Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-ResolutionCode1
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse ProblemsCode1
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark EstimationCode1
Accelerating the Super-Resolution Convolutional Neural NetworkCode1
A-ESRGAN: Training Real-World Blind Super-Resolution with Attention U-Net DiscriminatorsCode1
Bilateral Event Mining and Complementary for Event Stream Super-ResolutionCode1
Cylin-Painting: Seamless 360 Panoramic Image Outpainting and BeyondCode1
Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven ApproachCode1
AeroRIT: A New Scene for Hyperspectral Image AnalysisCode1
Consistent Direct Time-of-Flight Video Depth Super-ResolutionCode1
DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRFCode1
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual NetworkCode1
Distillation-Driven Diffusion Model for Multi-Scale MRI Super-Resolution: Make 1.5T MRI Great AgainCode1
Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real WorldCode1
Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion ModelsCode1
Face Super-Resolution Guided by 3D Facial PriorsCode1
Fourier Series Expansion Based Filter Parametrization for Equivariant ConvolutionsCode1
DL4DS -- Deep Learning for empirical DownScalingCode1
HQ-50K: A Large-scale, High-quality Dataset for Image RestorationCode1
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical SystemsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified