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

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Showing 1876–1900 of 3874 papers

TitleStatusHype
InverseNet: Solving Inverse Problems with Splitting Networks—0
Context Reasoning Attention Network for Image Super-Resolution—0
FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution—0
Fair Primal Dual Splitting Method for Image Inverse Problems—0
Strict Enforcement of Conservation Laws and Invertibility in CNN-Based Super Resolution for Scientific Datasets—0
Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution—0
Inverting a Rolling Shutter Camera: Bring Rolling Shutter Images to High Framerate Global Shutter Video—0
Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images—0
Artefact removal in ground truth deficient fluctuations-based nanoscopy images using deep learning—0
Involution and BSConv Multi-Depth Distillation Network for Lightweight Image Super-Resolution—0
Delta-WKV: A Novel Meta-in-Context Learner for MRI Super-Resolution—0
FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution—0
Iris super-resolution using CNNs: is photo-realism important to iris recognition?—0
Content-Aware Local GAN for Photo-Realistic Super-Resolution—0
Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors—0
FADPNet: Frequency-Aware Dual-Path Network for Face Super-Resolution—0
Facial Expression Restoration Based on Improved Graph Convolutional Networks—0
Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention—0
A Robust Super-resolution Gridless Imaging Framework for UAV-borne SAR Tomography—0
A Comprehensive Review of Deep Learning-based Single Image Super-resolution—0
Facial Attribute Capsules for Noise Face Super Resolution—0
Is There Any Recovery Guarantee with Coupled Structured Matrix Factorization for Hyperspectral Super-Resolution?—0
Is There Tradeoff between Spatial and Temporal in Video Super-Resolution?—0
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution—0
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified