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 3851–3874 of 3874 papers

TitleStatusHype
Fast Full-Resolution Target-Adaptive CNN-Based Pansharpening FrameworkCode0
The Little Engine that Could: Regularization by Denoising (RED)Code0
Second-Order Attention Network for Single Image Super-ResolutionCode0
Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution NetworkCode0
Fast and Robust Cascade Model for Multiple Degradation Single Image Super-ResolutionCode0
Computation-Performance Optimization of Convolutional Neural Networks with Redundant Kernel RemovalCode0
Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural NetworksCode0
Fast and Accurate Single Image Super-Resolution via Information Distillation NetworkCode0
Segmentation and Generation of Magnetic Resonance Images by Deep Neural NetworksCode0
Super-Resolution via Image-Adapted Denoising CNNs: Incorporating External and Internal LearningCode0
SeG-SR: Integrating Semantic Knowledge into Remote Sensing Image Super-Resolution via Vision-Language ModelCode0
Super-Resolution Based Patch-Free 3D Image Segmentation with High-Frequency GuidanceCode0
Deep Iterative Residual Convolutional Network for Single Image Super-ResolutionCode0
Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-ResolutionCode0
Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid NetworksCode0
Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in NetworkCode0
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual NetworkCode0
UGoDIT: Unsupervised Group Deep Image Prior Via Transferable WeightsCode0
Handheld Multi-Frame Super-ResolutionCode0
The Perception-Distortion TradeoffCode0
A Tensor Factorization Method for 3D Super-Resolution with Application to Dental CTCode0
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse ProblemsCode0
SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate ReductionCode0
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture SearchCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified