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 2226–2250 of 3874 papers

TitleStatusHype
A Coordinate Descent Approach to Atomic Norm Denoising—0
Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics—0
Cross-Guided Optimization of Radiance Fields With Multi-View Image Super-Resolution for High-Resolution Novel View Synthesis—0
XCAT -- Lightweight Quantized Single Image Super-Resolution using Heterogeneous Group Convolutions and Cross Concatenation—0
Transferring Knowledge from High-Quality to Low-Quality MRI for Adult Glioma Diagnosis—0
Mathematical Foundation of Sparsity-based Multi-snapshot Spectral Estimation—0
Mathematical Theory of Computational Resolution Limit in Multi-dimensions—0
Cross-Domain Lossy Compression as Optimal Transport with an Entropy Bottleneck—0
Matrix Neural Networks—0
Matrix Variate RBM and Its Applications—0
Maximum a Posteriori on a Submanifold: a General Image Restoration Method with GAN—0
A Convex Approach for Image Hallucination—0
MaxSR: Image Super-Resolution Using Improved MaxViT—0
CRNet: Image Super-Resolution Using A Convolutional Sparse Coding Inspired Network—0
Creating Realistic Anterior Segment Optical Coherence Tomography Images using Generative Adversarial Networks—0
Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems—0
Transformation Consistency Regularization – A Semi-Supervised Paradigm for Image-to-Image Translation—0
Medical image super-resolution method based on dense blended attention network—0
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution—0
Coupled-Projection Residual Network for MRI Super-Resolution—0
CoT-MISR:Marrying Convolution and Transformer for Multi-Image Super-Resolution—0
Meet-in-the-middle: Multi-scale upsampling and matching for cross-resolution face recognition—0
MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution—0
Cost-effective photonic super-resolution millimeter-wave joint radar-communication system using self-coherent detection—0
Transformer and GAN Based Super-Resolution Reconstruction Network for Medical Images—0
Show:102550
← PrevPage 90 of 155Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified