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 1701–1750 of 3874 papers

TitleStatusHype
Blind inverse problems with isolated spikes—0
Detecting disruption of HER2 membrane protein organization in cell membranes with nanoscale precision—0
Blind Image Super-Resolution with Spatial Context Hallucination—0
Blind Image Super-resolution with Rich Texture-Aware Codebooks—0
Analysis and Interpretation of Deep CNN Representations as Perceptual Quality Features—0
Detail-Enhancing Framework for Reference-Based Image Super-Resolution—0
Detailed 3D Human Body Reconstruction from Multi-view Images Combining Voxel Super-Resolution and Learned Implicit Representation—0
Blind Image Super-Resolution via Contrastive Representation Learning—0
Blind Image Super-Resolution: A Survey and Beyond—0
Designing A Composite Dictionary Adaptively From Joint Examples—0
DepthwiseGANs: Fast Training Generative Adversarial Networks for Realistic Image Synthesis—0
Depth Super-Resolution from Explicit and Implicit High-Frequency Features—0
Analog Neural Computing with Super-resolution Memristor Crossbars—0
An Adversarial Super-Resolution Remedy for Radar Design Trade-offs—0
AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration—0
360^ High-Resolution Depth Estimation via Uncertainty-aware Structural Knowledge Transfer—0
Depth Super Resolution by Rigid Body Self-Similarity in 3D—0
Depth Separable architecture for Sentinel-5P Super-Resolution—0
Blind Hyperspectral-Multispectral Image Fusion via Graph Laplacian Regularization—0
Depth Anything with Any Prior—0
Blind Facial Image Quality Enhancement using Non-Rigid Semantic Patches—0
Dense U-net for super-resolution with shuffle pooling layer—0
Densely Connected High Order Residual Network for Single Frame Image Super Resolution—0
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving—0
An Advanced Features Extraction Module for Remote Sensing Image Super-Resolution—0
AdaptSR: Low-Rank Adaptation for Efficient and Scalable Real-World Super-Resolution—0
Dense Dual-Attention Network for Light Field Image Super-Resolution—0
BLADE: Filter Learning for General Purpose Computational Photography—0
Bit-depth color recovery via off-the-shelf super-resolution models—0
Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild—0
DEM Super-Resolution with EfficientNetV2—0
Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors—0
A Multi-Task Learning Model for Super Resolution of Wireless Channel Characteristics—0
Accelerated WGAN update strategy with loss change rate balancing—0
Delta-WKV: A Novel Meta-in-Context Learner for MRI Super-Resolution—0
DELTAR: Depth Estimation from a Light-weight ToF Sensor and RGB Image—0
Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds—0
Del-Net: A Single-Stage Network for Mobile Camera ISP—0
Degrees of freedom for off-the-grid sparse estimation—0
Binary Neural Networks as a general-propose compute paradigm for on-device computer vision—0
Degradation-Guided Meta-Restoration Network for Blind Super-Resolution—0
Binary Diffusion Probabilistic Model—0
Amortised MAP Inference for Image Super-resolution—0
Degenerative Adversarial NeuroImage Nets for Brain Scan Simulations: Application in Ageing and Dementia—0
Deform-Mamba Network for MRI Super-Resolution—0
Binarized Neural Network for Single Image Super Resolution—0
Deformable Kernel Convolutional Network for Video Extreme Super-Resolution—0
A Modular Conditional Diffusion Framework for Image Reconstruction—0
Deformable-Detection Transformer for Microbubble Localization in Ultrasound Localization Microscopy—0
Bilateral Spectrum Weighted Total Variation for Noisy-Image Super-Resolution and Image Denoising—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified