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 1651–1700 of 3874 papers

TitleStatusHype
Fidelity-Naturalness Evaluation of Single Image Super Resolution—0
High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network with Attention and Cyclic Loss—0
High-Resolution Reference Image Assisted Volumetric Super-Resolution of Cardiac Diffusion Weighted Imaging—0
High-Resolution Vision Transformers for Pixel-Level Identification of Structural Components and Damage—0
FFTLasso: Large-Scale LASSO in the Fourier Domain—0
High-Similarity-Pass Attention for Single Image Super-Resolution—0
Deep Image Super Resolution via Natural Image Priors—0
High-throughput lensless whole slide imaging via continuous height-varying modulation of tilted sensor—0
Information Prebuilt Recurrent Reconstruction Network for Video Super-Resolution—0
HIIF: Hierarchical Encoding based Implicit Image Function for Continuous Super-resolution—0
Hi-Mamba: Hierarchical Mamba for Efficient Image Super-Resolution—0
HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars—0
Infrared Image Super-Resolution via Lightweight Information Split Network—0
FFT-Enhanced Low-Complexity Near-Field Super-Resolution Sensing—0
FFEINR: Flow Feature-Enhanced Implicit Neural Representation for Spatio-temporal Super-Resolution—0
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution—0
A Close Look at Few-shot Real Image Super-resolution from the Distortion Relation Perspective—0
Histo-Diffusion: A Diffusion Super-Resolution Method for Digital Pathology with Comprehensive Quality Assessment—0
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances—0
2.5D Super-Resolution Approaches for X-ray Computed Tomography-based Inspection of Additively Manufactured Parts—0
HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution—0
HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation—0
HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation—0
Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction—0
Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer—0
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport—0
Feedback Pyramid Attention Networks for Single Image Super-Resolution—0
How Does the Low-Rank Matrix Decomposition Help Internal and External Learnings for Super-Resolution—0
Feedback Neural Network based Super-resolution of DEM for generating high fidelity features—0
How Real is Real: Evaluating the Robustness of Real-World Super Resolution—0
How should a fixed budget of dwell time be spent in scanning electron microscopy to optimize image quality?—0
Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving—0
Coupled-Projection Residual Network for MRI Super-Resolution—0
ASSR-NeRF: Arbitrary-Scale Super-Resolution on Voxel Grid for High-Quality Radiance Fields Reconstruction—0
AGA-GAN: Attribute Guided Attention Generative Adversarial Network with U-Net for Face Hallucination—0
3DVSR: 3D EPI Volume-based Approach for Angular and Spatial Light field Image Super-resolution—0
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution—0
Infrared Image Super-Resolution via GAN—0
Interactive Image Manipulation with Complex Text Instructions—0
Feedback Graph Attention Convolutional Network for Medical Image Enhancement—0
CoT-MISR:Marrying Convolution and Transformer for Multi-Image Super-Resolution—0
Federated Learning for Blind Image Super-Resolution—0
Feature Super-Resolution: Make Machine See More Clearly—0
BandRC: Band Shifted Raised Cosine Activated Implicit Neural Representations—0
Cost-effective photonic super-resolution millimeter-wave joint radar-communication system using self-coherent detection—0
Assessing Wireless Sensing Potential with Large Intelligent Surfaces—0
Feature Super-Resolution Based Facial Expression Recognition for Multi-scale Low-Resolution Faces—0
Feature Representation Matters: End-to-End Learning for Reference-based Image Super-resolution—0
Equal is Not Always Fair: A New Perspective on Hyperspectral Representation Non-Uniformity—0
Incorporating Degradation Estimation in Light Field Spatial Super-Resolution—0
Show:102550
← PrevPage 34 of 78Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified