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 1201–1225 of 3874 papers

TitleStatusHype
MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from FacesCode1
HDTR-Net: A Real-Time High-Definition Teeth Restoration Network for Arbitrary Talking Face Generation MethodsCode1
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense—0
Deep Learning-based Synthetic High-Resolution In-Depth Imaging Using an Attachable Dual-element Endoscopic Ultrasound Probe—0
AudioSR: Versatile Audio Super-resolution at ScaleCode3
Padding-free Convolution based on Preservation of Differential Characteristics of Kernels—0
Learning from History: Task-agnostic Model Contrastive Learning for Image RestorationCode1
RGB-Guided Resolution Enhancement of IR Images—0
Introducing Shape Prior Module in Diffusion Model for Medical Image Segmentation—0
HAT: Hybrid Attention Transformer for Image RestorationCode3
Diving into Darkness: A Dual-Modulated Framework for High-Fidelity Super-Resolution in Ultra-Dark Environments—0
Super-Resolution Surface Reconstruction from Few Low-Resolution SlicesCode0
Towards Real-World Burst Image Super-Resolution: Benchmark and MethodCode1
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks—0
Panoramas from Photons—0
NUV-DoA: NUV Prior-based Bayesian Sparse Reconstruction with Spatial Filtering for Super-Resolution DoA EstimationCode1
SEAL: A Framework for Systematic Evaluation of Real-World Super-ResolutionCode1
Local Padding in Patch-Based GANs for Seamless Infinite-Sized Texture SynthesisCode0
Direction-of-arrival estimation with conventional co-prime arrays using deep learning-based probablistic Bayesian neural networks—0
Implicit Neural Image StitchingCode1
Building Footprint Extraction in Dense Areas using Super Resolution and Frame Field Learning—0
RSDiff: Remote Sensing Image Generation from Text Using Diffusion Model—0
Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and ReconstructionCode1
ACNPU: A 4.75TOPS/W 1080P@30FPS Super Resolution Accelerator with Decoupled Asymmetric Convolution—0
DiffBIR: Towards Blind Image Restoration with Generative Diffusion PriorCode4
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified