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

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Showing 1051–1100 of 3874 papers

TitleStatusHype
Frequency Domain-based Perceptual Loss for Super ResolutionCode1
Heterogeneous Mixture of Experts for Remote Sensing Image Super-ResolutionCode1
Image Super-Resolution with Deep DictionaryCode1
Does Diffusion Beat GAN in Image Super Resolution?Code1
Learning Structral coherence Via Generative Adversarial Network for Single Image Super-ResolutionCode1
Progressive Training of A Two-Stage Framework for Video RestorationCode1
Direction-of-arrival estimation with conventional co-prime arrays using deep learning-based probablistic Bayesian neural networks—0
Directional diffusion models for graph representation learning—0
Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration—0
Anchored Regression Networks Applied to Age Estimation and Super Resolution—0
DIPNet: Efficiency Distillation and Iterative Pruning for Image Super-Resolution—0
DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration—0
Boosting Resolution and Recovering Texture of micro-CT Images with Deep Learning—0
Boosting Optical Character Recognition: A Super-Resolution Approach—0
Accurate and Robust Deep Learning Framework for Solving Wave-Based Inverse Problems in the Super-Resolution Regime—0
DiffVSR: Enhancing Real-World Video Super-Resolution with Diffusion Models for Advanced Visual Quality and Temporal Consistency—0
An Attention-Based Approach for Single Image Super Resolution—0
Diffusion Posterior Sampling is Computationally Intractable—0
Boosting Image Super-Resolution Via Fusion of Complementary Information Captured by Multi-Modal Sensors—0
Anatomically Guided Motion Correction for Placental IVIM Parameter Estimation with Accelerated Sampling Method—0
Diffusion Models to Enhance the Resolution of Microscopy Images: A Tutorial—0
Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution—0
360-Degree Video Super Resolution and Quality Enhancement Challenge: Methods and Results—0
Diffusion Image Prior—0
Diffusion-Based Signed Distance Fields for 3D Shape Generation—0
Boosting Diffusion-Based Text Image Super-Resolution Model Towards Generalized Real-World Scenarios—0
Diffusion-Based Point Cloud Super-Resolution for mmWave Radar Data—0
Diffusion-based Light Field Synthesis—0
AdderSR: Towards Energy Efficient Image Super-Resolution—0
DiffuseIR:Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images—0
Boomerang: Local sampling on image manifolds using diffusion models—0
DiffStereo: High-Frequency Aware Diffusion Model for Stereo Image Restoration—0
DIffSteISR: Harnessing Diffusion Prior for Superior Real-world Stereo Image Super-Resolution—0
γ-Net: Superresolving SAR Tomographic Inversion via Deep Learning—0
An Approach to Super-Resolution of Sentinel-2 Images Based on Generative Adversarial Networks—0
Accurate and Lightweight Image Super-Resolution with Model-Guided Deep Unfolding Network—0
DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models—0
BOLD: Boolean Logic Deep Learning—0
An approach to image denoising using manifold approximation without clean images—0
DiffNMR3: Advancing NMR Resolution Beyond Instrumental Limits—0
DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics—0
360^ High-Resolution Depth Estimation via Uncertainty-aware Structural Knowledge Transfer—0
An Application of Generative Adversarial Networks for Super Resolution Medical Imaging—0
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation—0
ADD: Attribution-Driven Data Augmentation Framework for Boosting Image Super-Resolution—0
Event-based Video Super-Resolution via State Space Models—0
Event Signal Filtering via Probability Flux Estimation—0
DiffFNO: Diffusion Fourier Neural Operator—0
Differentiable Search for Finding Optimal Quantization Strategy—0
Block-Based Multi-Scale Image Rescaling—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified