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 51–100 of 3874 papers

TitleStatusHype
PP-MSVSR: Multi-Stage Video Super-ResolutionCode3
Blind Image Restoration via Fast Diffusion InversionCode3
Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion TransformerCode3
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic ModelCode3
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory DistillationCode3
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative ModelsCode3
Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-ResolutionCode3
Geodesic Diffusion Models for Medical Image-to-Image GenerationCode2
HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion ModelsCode2
Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-ResolutionCode2
Generative Diffusion-based Downscaling for ClimateCode2
Fourier Neural Operator for Parametric Partial Differential EquationsCode2
Frequency-Assisted Mamba for Remote Sensing Image Super-ResolutionCode2
GenN2N: Generative NeRF2NeRF TranslationCode2
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image GenerationCode2
FLowHigh: Towards Efficient and High-Quality Audio Super-Resolution with Single-Step Flow MatchingCode2
All-In-One Medical Image Restoration via Task-Adaptive RoutingCode2
Emulating Self-attention with Convolution for Efficient Image Super-ResolutionCode2
EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture ModelsCode2
Efficient Face Super-Resolution via Wavelet-based Feature Enhancement NetworkCode2
Efficient Mixed Transformer for Single Image Super-ResolutionCode2
AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual LearningCode2
AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-ResolutionCode2
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory MatchingCode2
DVMSR: Distillated Vision Mamba for Efficient Super-ResolutionCode2
AIM 2020 Challenge on Efficient Super-Resolution: Methods and ResultsCode2
EAMamba: Efficient All-Around Vision State Space Model for Image RestorationCode2
Distillation-Supervised Convolutional Low-Rank Adaptation for Efficient Image Super-ResolutionCode2
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-ResolutionCode2
Effective Diffusion Transformer Architecture for Image Super-ResolutionCode2
Denoising Diffusion Models for Plug-and-Play Image RestorationCode2
Denoising Diffusion Restoration ModelsCode2
A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact RemovalCode2
A Tour of Convolutional Networks Guided by Linear InterpretersCode2
Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-ResolutionCode2
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration ModelsCode2
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive SurveyCode2
DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-ResolutionCode2
Distillation-Free One-Step Diffusion for Real-World Image Super-ResolutionCode2
Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution with Subpixel FusionCode2
CoSeR: Bridging Image and Language for Cognitive Super-ResolutionCode2
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and ResultsCode2
Dual Aggregation Transformer for Image Super-ResolutionCode2
Deep Constrained Least Squares for Blind Image Super-ResolutionCode2
AERO: Audio Super Resolution in the Spectral DomainCode2
AEROMamba: An efficient architecture for audio super-resolution using generative adversarial networks and state space modelsCode2
Efficient Long-Range Attention Network for Image Super-resolutionCode2
Auto-Encoded Supervision for Perceptual Image Super-ResolutionCode2
Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differencesCode2
Show:102550
← PrevPage 2 of 78Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified