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 2801–2825 of 3874 papers

TitleStatusHype
T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions—0
Taming Stable Diffusion for Computed Tomography Blind Super-Resolution—0
TANet: A new Paradigm for Global Face Super-resolution via Transformer-CNN Aggregation Network—0
Task-Aware Image Downscaling—0
Task Decoupled Framework for Reference-Based Super-Resolution—0
Task-driven real-world super-resolution of document scans—0
Task-driven single-image super-resolution reconstruction of document scans—0
Task-Driven Super Resolution: Object Detection in Low-resolution Images—0
TcGAN: Semantic-Aware and Structure-Preserved GANs with Individual Vision Transformer for Fast Arbitrary One-Shot Image Generation—0
Tchebichef Transform Domain-based Deep Learning Architecture for Image Super-resolution—0
Co-learning Single-Step Diffusion Upsampler and Downsampler with Two Discriminators and Distillation—0
Teacher-Student Network for Real-World Face Super-Resolution with Progressive Embedding of Edge Information—0
TEMImageNet Training Library and AtomSegNet Deep-Learning Models for High-Precision Atom Segmentation, Localization, Denoising, and Super-Resolution Processing of Atomic-Resolution Images—0
Temporal and Spatial Super Resolution with Latent Diffusion Model in Medical MRI images—0
Temporal Kernel Consistency for Blind Video Super-Resolution—0
Temporal shape super-resolution by intra-frame motion encoding using high-fps structured light—0
Temporal Super-Resolution using Multi-Channel Illumination Source—0
Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review—0
Tensor-Generative Adversarial Network with Two-dimensional Sparse Coding: Application to Real-time Indoor Localization—0
Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images—0
Test-time Cost-and-Quality Controllable Arbitrary-Scale Super-Resolution with Variable Fourier Components—0
Test-time Training for Hyperspectral Image Super-resolution—0
Text-guided Explorable Image Super-resolution—0
TextIR: A Simple Framework for Text-based Editable Image Restoration—0
S^3Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified