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 1301–1325 of 3874 papers

TitleStatusHype
BadSR: Stealthy Label Backdoor Attacks on Image Super-Resolution—0
Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving—0
Deep learning at scale for subgrid modeling in turbulent flows—0
AI Techniques for Cone Beam Computed Tomography in Dentistry: Trends and Practices—0
Gauging diffraction patterns: field of view and bandwidth estimation in lensless holography—0
GaussianSR: High Fidelity 2D Gaussian Splatting for Arbitrary-Scale Image Super-Resolution—0
Deep Learning-Assisted Simultaneous Targets Sensing and Super-Resolution Imaging—0
Back-Projection Pipeline—0
Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction—0
Deep Learning and Image Super-Resolution-Guided Beam and Power Allocation for mmWave Networks—0
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends—0
AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results—0
2.5D Super-Resolution Approaches for X-ray Computed Tomography-based Inspection of Additively Manufactured Parts—0
GAN-based Super-Resolution and Segmentation of Retinal Layers in Optical coherence tomography Scans—0
Backdoor Attacks against Image-to-Image Networks—0
GaussianVAE: Adaptive Learning Dynamics of 3D Gaussians for High-Fidelity Super-Resolution—0
Gemino: Practical and Robust Neural Compression for Video Conferencing—0
OFDM Reference Signal Pattern Design Criteria for Integrated Communication and Sensing—0
“Zero-Shot” Super-Resolution Using Deep Internal Learning—0
Deep Inception-Residual Laplacian Pyramid Networks for Accurate Single Image Super-Resolution—0
AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content—0
Deep Image Super Resolution via Natural Image Priors—0
Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence microscopy—0
Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution—0
A Wideband Distributed Massive MIMO Channel Sounder for Communication and Sensing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified