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 226–250 of 3874 papers

TitleStatusHype
MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shiftingCode1
CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-ResolutionCode1
Heterogeneous Mixture of Experts for Remote Sensing Image Super-ResolutionCode1
BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-ResolutionCode1
HSRMamba: Contextual Spatial-Spectral State Space Model for Single Image Hyperspectral Super-ResolutionCode1
Distillation-Driven Diffusion Model for Multi-Scale MRI Super-Resolution: Make 1.5T MRI Great AgainCode1
BF-STVSR: B-Splines and Fourier-Best Friends for High Fidelity Spatial-Temporal Video Super-ResolutionCode1
NeurOp-Diff:Continuous Remote Sensing Image Super-Resolution via Neural Operator DiffusionCode1
StructSR: Refuse Spurious Details in Real-World Image Super-ResolutionCode1
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual ApproximatorsCode1
VolFormer: Explore More Comprehensive Cube Interaction for Hyperspectral Image Restoration and BeyondCode1
BF-STVSR: B-Splines and Fourier---Best Friends for High Fidelity Spatial-Temporal Video Super-ResolutionCode1
Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)Code1
Solving Inverse Problems via Diffusion Optimal ControlCode1
Diffusion Prior Interpolation for Flexibility Real-World Face Super-ResolutionCode1
OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offsCode1
RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-ResolutionCode1
Neural Garment Dynamic Super-ResolutionCode1
Jointly RS Image Deblurring and Super-Resolution with Adjustable-Kernel and Multi-Domain AttentionCode1
TASR: Timestep-Aware Diffusion Model for Image Super-ResolutionCode1
RFSR: Improving ISR Diffusion Models via Reward Feedback LearningCode1
SUICA: Learning Super-high Dimensional Sparse Implicit Neural Representations for Spatial TranscriptomicsCode1
VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion ModelsCode1
Vision Mamba Distillation for Low-resolution Fine-grained Image ClassificationCode1
MAT: Multi-Range Attention Transformer for Efficient Image Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified