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 1651–1675 of 3874 papers

TitleStatusHype
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models—0
Fast Samplers for Inverse Problems in Iterative Refinement ModelsCode0
Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models—0
BOLD: Boolean Logic Deep Learning—0
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving—0
Stochastic super-resolution for Gaussian microtextures—0
Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution—0
Perceptual Fairness in Image Restoration—0
HR-INR: Continuous Space-Time Video Super-Resolution via Event CameraCode0
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution—0
HR Human: Modeling Human Avatars with Triangular Mesh and High-Resolution Textures from Videos—0
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis—0
CoReGAN: Contrastive Regularized Generative Adversarial Network for Guided Depth Map Super Resolution—0
Infrared Image Super-Resolution via Lightweight Information Split Network—0
RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods—0
Frequency-Domain Refinement with Multiscale Diffusion for Super Resolution—0
Large coordinate kernel attention network for lightweight image super-resolution—0
Perception- and Fidelity-aware Reduced-Reference Super-Resolution Image Quality Assessment—0
NAFRSSR: a Lightweight Recursive Network for Efficient Stereo Image Super-ResolutionCode0
Super-Resolving Blurry Images with Events—0
Incorporating Degradation Estimation in Light Field Spatial Super-Resolution—0
Machine learning for reconstruction of polarity inversion lines from solar filamentsCode0
Multimodal Super-Resolution: Discovering hidden physics and its application to fusion plasmas—0
Multi-Level Feature Fusion Network for Lightweight Stereo Image Super-ResolutionCode0
Teacher-Student Network for Real-World Face Super-Resolution with Progressive Embedding of Edge Information—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified