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 101–150 of 3874 papers

TitleStatusHype
FLowHigh: Towards Efficient and High-Quality Audio Super-Resolution with Single-Step Flow MatchingCode2
IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation ModelCode2
Fourier Neural Operator for Parametric Partial Differential EquationsCode2
Learning Trajectory-Aware Transformer for Video Super-ResolutionCode2
Blur Interpolation Transformer for Real-World Motion from BlurCode2
Boosting Flow-based Generative Super-Resolution Models via Learned PriorCode2
AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual LearningCode2
MaIR: A Locality- and Continuity-Preserving Mamba for Image RestorationCode2
Frequency-Assisted Mamba for Remote Sensing Image Super-ResolutionCode2
Auto-Encoded Supervision for Perceptual Image Super-ResolutionCode2
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image GenerationCode2
ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion RefinementCode2
A Tour of Convolutional Networks Guided by Linear InterpretersCode2
On the Generalization of BasicVSR++ to Video Deblurring and DenoisingCode2
Efficient Mixed Transformer for Single Image Super-ResolutionCode2
Partial Large Kernel CNNs for Efficient Super-ResolutionCode2
Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative ModelsCode2
Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields TranslationCode2
Efficient Face Super-Resolution via Wavelet-based Feature Enhancement NetworkCode2
Efficient Long-Range Attention Network for Image Super-resolutionCode2
Emulating Self-attention with Convolution for Efficient Image Super-ResolutionCode2
Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion ModelsCode2
EAMamba: Efficient All-Around Vision State Space Model for Image RestorationCode2
Efficient Attention-Sharing Information Distillation Transformer for Lightweight Single Image Super-ResolutionCode2
AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion DistillationCode2
CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-ResolutionCode2
Arbitrary-Scale Video Super-Resolution with Structural and Textural PriorsCode2
AERO: Audio Super Resolution in the Spectral DomainCode2
A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact RemovalCode2
Dual Aggregation Transformer for Image Super-ResolutionCode2
EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture ModelsCode2
DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-ResolutionCode2
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
Distillation-Free One-Step Diffusion for Real-World Image Super-ResolutionCode2
Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-ResolutionCode2
Denoising Diffusion Restoration ModelsCode2
AnySR: Realizing Image Super-Resolution as Any-Scale, Any-ResourceCode2
Denoising Diffusion Models for Plug-and-Play Image RestorationCode2
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive SurveyCode2
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration ModelsCode2
Enhancing Video Super-Resolution via Implicit Resampling-based AlignmentCode2
AnimeSR: Learning Real-World Super-Resolution Models for Animation VideosCode2
Distillation-Supervised Convolutional Low-Rank Adaptation for Efficient Image Super-ResolutionCode2
CoSeR: Bridging Image and Language for Cognitive Super-ResolutionCode2
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and ResultsCode2
Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution with Subpixel FusionCode2
DVMSR: Distillated Vision Mamba for Efficient Super-ResolutionCode2
AIM 2020 Challenge on Efficient Super-Resolution: Methods and ResultsCode2
Effective Diffusion Transformer Architecture for Image Super-ResolutionCode2
Contourlet Refinement Gate Framework for Thermal Spectrum Distribution Regularized Infrared Image Super-ResolutionCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified