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 1151–1200 of 3874 papers

TitleStatusHype
Blind Facial Image Quality Enhancement using Non-Rigid Semantic Patches—0
AdaptSR: Low-Rank Adaptation for Efficient and Scalable Real-World Super-Resolution—0
An Advanced Features Extraction Module for Remote Sensing Image Super-Resolution—0
Dense U-net for super-resolution with shuffle pooling layer—0
Densely Connected High Order Residual Network for Single Frame Image Super Resolution—0
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving—0
Feature-Driven Super-Resolution for Object Detection—0
Dense Dual-Attention Network for Light Field Image Super-Resolution—0
BLADE: Filter Learning for General Purpose Computational Photography—0
Feature Alignment with Equivariant Convolutions for Burst Image Super-Resolution—0
Bit-depth color recovery via off-the-shelf super-resolution models—0
A Multi-Task Learning Model for Super Resolution of Wireless Channel Characteristics—0
Feature-domain Adaptive Contrastive Distillation for Efficient Single Image Super-Resolution—0
Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild—0
Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors—0
DEM Super-Resolution with EfficientNetV2—0
Accelerated WGAN update strategy with loss change rate balancing—0
Acceleration-Based Kalman Tracking for Super-Resolution Ultrasound Imaging in vivo—0
Feature-based Recognition Framework for Super-resolution Images—0
Delta-WKV: A Novel Meta-in-Context Learner for MRI Super-Resolution—0
DELTAR: Depth Estimation from a Light-weight ToF Sensor and RGB Image—0
Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds—0
Del-Net: A Single-Stage Network for Mobile Camera ISP—0
Degrees of freedom for off-the-grid sparse estimation—0
Binary Neural Networks as a general-propose compute paradigm for on-device computer vision—0
Amortised MAP Inference for Image Super-resolution—0
Binary Diffusion Probabilistic Model—0
Degradation-Guided Meta-Restoration Network for Blind Super-Resolution—0
Adaptive Transform Domain Image Super-resolution Via Orthogonally Regularized Deep Networks—0
SGSR: Structure-Guided Multi-Contrast MRI Super-Resolution via Spatio-Frequency Co-Query Attention—0
Degenerative Adversarial NeuroImage Nets for Brain Scan Simulations: Application in Ageing and Dementia—0
Deform-Mamba Network for MRI Super-Resolution—0
Binarized Neural Network for Single Image Super Resolution—0
Deformable Kernel Convolutional Network for Video Extreme Super-Resolution—0
A Modular Conditional Diffusion Framework for Image Reconstruction—0
A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement—0
Deformable-Detection Transformer for Microbubble Localization in Ultrasound Localization Microscopy—0
Bilateral Spectrum Weighted Total Variation for Noisy-Image Super-Resolution and Image Denoising—0
Feature Aggregating Network with Inter-Frame Interaction for Efficient Video Super-Resolution—0
Feature Representation Matters: End-to-End Learning for Reference-based Image Super-resolution—0
Bilateral Network with Channel Splitting Network and Transformer for Thermal Image Super-Resolution—0
A mathematical theory of super-resolution and two-point resolution—0
Deep Unrolled Network for Video Super-Resolution—0
Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs—0
Deep unfolding Network for Hyperspectral Image Super-Resolution with Automatic Exposure Correction—0
Bi-GANs-ST for Perceptual Image Super-resolution—0
Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound—0
Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations—0
Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution—0
Fast Sublinear Sparse Representation using Shallow Tree Matching Pursuit—0
Show:102550
← PrevPage 24 of 78Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified