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

Showing 36013625 of 3874 papers

TitleStatusHype
Distilling the Knowledge from Conditional Normalizing FlowsCode0
DISGAN: Wavelet-informed Discriminator Guides GAN to MRI Super-resolution with Noise CleaningCode0
Deep Burst DenoisingCode0
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on RegressionCode0
Spatio-Angular Convolutions for Super-resolution in Diffusion MRICode0
Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student LearningCode0
Transfer Learning for Protein Structure Classification at Low ResolutionCode0
RAIN: A Simple Approach for Robust and Accurate Image Classification NetworksCode0
RainScaleGAN: a Conditional Generative Adversarial Network for Rainfall DownscalingCode0
Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational ApproachCode0
Spatio-Temporal Distortion Aware Omnidirectional Video Super-ResolutionCode0
Spatio-Temporal Perception-Distortion Trade-off in Learned Video SRCode0
Improving Super-Resolution Methods via Incremental Residual LearningCode0
MAMNet: Multi-path Adaptive Modulation Network for Image Super-ResolutionCode0
"Zero-Shot" Point Cloud UpsamplingCode0
Improved Pothole Detection Using YOLOv7 and ESRGANCode0
RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-ResolutionCode0
Binary Document Image Super Resolution for Improved Readability and OCR PerformanceCode0
DiffPAD: Denoising Diffusion-based Adversarial Patch DecontaminationCode0
AnyTSR: Any-Scale Thermal Super-Resolution for UAVCode0
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate DataCode0
Difficulty-aware Image Super Resolution via Deep Adaptive Dual-NetworkCode0
Deep Bi-Dense Networks for Image Super-ResolutionCode0
Deep Back-Projection Networks For Super-ResolutionCode0
Implicit Image-to-Image Schrodinger Bridge for Image RestorationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41Unverified