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 1576–1600 of 3874 papers

TitleStatusHype
3DAttGAN: A 3D Attention-based Generative Adversarial Network for Joint Space-Time Video Super-ResolutionCode0
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution—0
ThermalNeRF: Thermal Radiance Fields—0
Efficient Multi-disparity Transformer for Light Field Image Super-resolution—0
UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt—0
Research on Image Super-Resolution Reconstruction Mechanism based on Convolutional Neural Network—0
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients—0
Deconvolution with a Box—0
Leveraging Segment Anything Model in Identifying Buildings within Refugee Camps (SAM4Refugee) from Satellite Imagery for Humanitarian OperationsCode0
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse ProblemsCode0
Backdoor Attacks against Image-to-Image Networks—0
2D Neural Fields with Learned Discontinuities—0
Task-driven single-image super-resolution reconstruction of document scans—0
Global Spatial-Temporal Information-based Residual ConvLSTM for Video Space-Time Super-Resolution—0
Spatially-Variant Degradation Model for Dataset-free Super-resolutionCode0
VEnhancer: Generative Space-Time Enhancement for Video Generation—0
UnmixingSR: Material-aware Network with Unsupervised Unmixing as Auxiliary Task for Hyperspectral Image Super-resolution—0
Deform-Mamba Network for MRI Super-Resolution—0
Layered Diffusion Model for One-Shot High Resolution Text-to-Image Synthesis—0
Neuromorphic Imaging with Super-Resolution—0
HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution—0
Self-Prior Guided Mamba-UNet Networks for Medical Image Super-Resolution—0
Enhancing super-resolution ultrasound localisation through multi-frame deconvolution exploiting spatiotemporal coherence—0
A Hybrid Registration and Fusion Method for Hyperspectral Super-resolution—0
Edge-guided and Cross-scale Feature Fusion Network for Efficient Multi-contrast MRI Super-ResolutionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified