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 1651–1700 of 3874 papers

TitleStatusHype
Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution—0
Anatomically Guided Motion Correction for Placental IVIM Parameter Estimation with Accelerated Sampling Method—0
Accurate and Robust Deep Learning Framework for Solving Wave-Based Inverse Problems in the Super-Resolution Regime—0
Diffusion Image Prior—0
Diffusion-Based Signed Distance Fields for 3D Shape Generation—0
Diffusion-Based Point Cloud Super-Resolution for mmWave Radar Data—0
Diffusion-based Light Field Synthesis—0
Boosting Diffusion-Based Text Image Super-Resolution Model Towards Generalized Real-World Scenarios—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
AdderSR: Towards Energy Efficient Image Super-Resolution—0
DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models—0
BOLD: Boolean Logic Deep Learning—0
DiffNMR3: Advancing NMR Resolution Beyond Instrumental Limits—0
DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics—0
An approach to image denoising using manifold approximation without clean images—0
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation—0
An Application of Generative Adversarial Networks for Super Resolution Medical Imaging—0
ADD: Attribution-Driven Data Augmentation Framework for Boosting Image Super-Resolution—0
Accurate and Lightweight Image Super-Resolution with Model-Guided Deep Unfolding Network—0
360-Degree Video Super Resolution and Quality Enhancement Challenge: Methods and Results—0
DiffFNO: Diffusion Fourier Neural Operator—0
Differentiable Search for Finding Optimal Quantization Strategy—0
Block-Based Multi-Scale Image Rescaling—0
Differentiable Channel Sparsity Search via Weight Sharing within Filters—0
Diff-Ensembler: Learning to Ensemble 2D Diffusion Models for Volume-to-Volume Medical Image Translation—0
Blind Time-of-Flight Imaging: Sparse Deconvolution on the Continuum with Unknown Kernels—0
DiffDance: Cascaded Human Motion Diffusion Model for Dance Generation—0
DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution—0
Diagnosing and Preventing Instabilities in Recurrent Video Processing—0
Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach—0
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis—0
Multimodal Super-Resolution: Discovering hidden physics and its application to fusion plasmas—0
Diabetic foot ulcers monitoring by employing super resolution and noise reduction deep learning techniques—0
DHECA-SuperGaze: Dual Head-Eye Cross-Attention and Super-Resolution for Unconstrained Gaze Estimation—0
Blind Super-Resolution for Remote Sensing Images via Conditional Stochastic Normalizing Flows—0
Analytic Optimization-Based Microbubble Tracking in Ultrasound Super-Resolution Microscopy—0
Blind Restoration of High-Resolution Ultrasound Video—0
Dfilled: Repurposing Edge-Enhancing Diffusion for Guided DSM Void Filling—0
Device Activity Detection and Channel Estimation for Millimeter-Wave Massive MIMO—0
Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understanding—0
Analysis Operator Learning and Its Application to Image Reconstruction—0
Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning—0
Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision—0
Developing a new biophysical tool to combine magneto-optical tweezers with super-resolution fluorescence microscopy—0
Deterministic Medical Image Translation via High-fidelity Brownian Bridges—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified