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 251–300 of 3874 papers

TitleStatusHype
ZoomLDM: Latent Diffusion Model for multi-scale image generationCode1
Local Implicit Wavelet Transformer for Arbitrary-Scale Super-ResolutionCode1
Volumetric Conditioning Module to Control Pretrained Diffusion Models for 3D Medical ImagesCode1
Deep Learning-Based CKM Construction with Image Super-ResolutionCode1
Sebica: Lightweight Spatial and Efficient Bidirectional Channel Attention Super Resolution NetworkCode1
ControlSR: Taming Diffusion Models for Consistent Real-World Image Super ResolutionCode1
Degradation Oriented and Regularized Network for Blind Depth Super-ResolutionCode1
HFH-Font: Few-shot Chinese Font Synthesis with Higher Quality, Faster Speed, and Higher ResolutionCode1
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-ResolutionCode1
Enhanced Super-Resolution Training via Mimicked Alignment for Real-World ScenesCode1
SuperGS: Super-Resolution 3D Gaussian Splatting Enhanced by Variational Residual Features and Uncertainty-Augmented LearningCode1
PixelShuffler: A Simple Image Translation Through Pixel RearrangementCode1
Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEsCode1
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical FlowCode1
PlainUSR: Chasing Faster ConvNet for Efficient Super-ResolutionCode1
Learned Compression for Images and Point CloudsCode1
EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-ResolutionCode1
LMLT: Low-to-high Multi-Level Vision Transformer for Image Super-ResolutionCode1
Rethinking Image Super-Resolution from Training Data PerspectivesCode1
Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven ApproachCode1
Cascaded Temporal Updating Network for Efficient Video Super-ResolutionCode1
MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMsCode1
Implicit Grid Convolution for Multi-Scale Image Super-ResolutionCode1
GRFormer: Grouped Residual Self-Attention for Lightweight Single Image Super-ResolutionCode1
One Step Diffusion-based Super-Resolution with Time-Aware DistillationCode1
Attention Beats Linear for Fast Implicit Neural Representation GenerationCode1
A New Dataset and Framework for Real-World Blurred Images Super-ResolutionCode1
Large Kernel Distillation Network for Efficient Single Image Super-ResolutionCode1
MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby ReferencesCode1
Region Attention Transformer for Medical Image RestorationCode1
Pairwise Distance Distillation for Unsupervised Real-World Image Super-ResolutionCode1
Real HSI-MSI-PAN image dataset for the hyperspectral/multi-spectral/panchromatic image fusion and super-resolution fieldsCode1
Adversarial Magnification to Deceive Deepfake Detection through Super ResolutionCode1
Preserving Full Degradation Details for Blind Image Super-ResolutionCode1
CSAKD: Knowledge Distillation with Cross Self-Attention for Hyperspectral and Multispectral Image FusionCode1
Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-ResolutionCode1
DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-ResolutionCode1
Zero-Shot Image Denoising for High-Resolution Electron MicroscopyCode1
Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo SimulationCode1
SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-ResolutionCode1
2DQuant: Low-bit Post-Training Quantization for Image Super-ResolutionCode1
Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential EquationsCode1
SuperFormer: Volumetric Transformer Architectures for MRI Super-ResolutionCode1
ReLUs Are Sufficient for Learning Implicit Neural RepresentationsCode1
Does Diffusion Beat GAN in Image Super Resolution?Code1
PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-ResolutionCode1
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion TeacherCode1
Bilateral Event Mining and Complementary for Event Stream Super-ResolutionCode1
Exploring the Low-Pass Filtering Behavior in Image Super-ResolutionCode1
Semantic Guided Large Scale Factor Remote Sensing Image Super-resolution with Generative Diffusion PriorCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified