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 2401–2450 of 3874 papers

TitleStatusHype
Image Enhancement by Recurrently-trained Super-resolution Network—0
Image inpainting for corrupted images by using the semi-super resolution GAN—0
Image Inpainting for High-Resolution Textures using CNN Texture Synthesis—0
Image Neural Field Diffusion Models—0
Imagen Video: High Definition Video Generation with Diffusion Models—0
ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rig—0
Image Processing GNN: Breaking Rigidity in Super-Resolution—0
Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN)—0
Image Reconstruction of Multi Branch Feature Multiplexing Fusion Network with Mixed Multi-layer Attention—0
Image Resolution Enhancement by Using Interpolation Followed by Iterative Back Projection—0
Image Restoration by Deep Projected GSURE—0
Progressive Image Super-Resolution via Neural Differential Equation—0
Image Restoration using Autoencoding Priors—0
Image Super-Resolution Based on Sparsity Prior via Smoothed l_0 Norm—0
Image super-resolution reconstruction based on attention mechanism and feature fusion—0
Image Super-resolution Reconstruction Network based on Enhanced Swin Transformer via Alternating Aggregation of Local-Global Features—0
Image Super-Resolution Using Attention Based DenseNet with Residual Deconvolution—0
Image Super-Resolution using Explicit Perceptual Loss—0
Image Superresolution using Scale-Recurrent Dense Network—0
Image Super-Resolution Using T-Tetromino Pixels—0
Image Super-Resolution Using VDSR-ResNeXt and SRCGAN—0
Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy—0
Perception-oriented Single Image Super-Resolution via Dual Relativistic Average Generative Adversarial Networks—0
Image Super-Resolution With Deep Variational Autoencoders—0
Image Super-Resolution with Guarantees via Conformalized Generative Models—0
Image-to-image domain adaptation for vehicle re-identification—0
Image Transformer—0
IMDeception: Grouped Information Distilling Super-Resolution Network—0
Impact of deep learning-based image super-resolution on binary signal detection—0
Implicit Neural Representation Learning for Hyperspectral Image Super-Resolution—0
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI—0
Improved detection of small objects in road network sequences—0
Improved Super-Resolution Convolution Neural Network for Large Images—0
Improved Super Resolution of MR Images Using CNNs and Vision Transformers—0
Improving Clinical Diagnosis Performance with Automated X-ray Scan Quality Enhancement Algorithms—0
Improving Generative Adversarial Networks for Video Super-Resolution—0
Improving Multi-View Stereo via Super-Resolution—0
Improving Object Detection Quality in Football Through Super-Resolution Techniques—0
Improving the resolution of microscope by deconvolution after dense scan—0
Improving the Temporal Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using a Deep Generative Model—0
Incorporating Degradation Estimation in Light Field Spatial Super-Resolution—0
Incorporating Uncertainty-Guided and Top-k Codebook Matching for Real-World Blind Image Super-Resolution—0
Inductive Matrix Completion and Root-MUSIC-Based Channel Estimation for Intelligent Reflecting Surface (IRS)-Aided Hybrid MIMO Systems—0
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution—0
Information Prebuilt Recurrent Reconstruction Network for Video Super-Resolution—0
Infrared Image Super-Resolution via Heterogeneous Convolutional WGAN—0
Infrared Image Super-Resolution via Lightweight Information Split Network—0
Infrared Image Super-Resolution via GAN—0
RGB-Guided Resolution Enhancement of IR Images—0
RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified