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 301–325 of 3874 papers

TitleStatusHype
Activating Wider Areas in Image Super-ResolutionCode1
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-ResolutionCode1
A heterogeneous group CNN for image super-resolutionCode1
Adaptive Convolutional Neural Network for Image Super-resolutionCode1
ControlSR: Taming Diffusion Models for Consistent Real-World Image Super ResolutionCode1
Action Matching: Learning Stochastic Dynamics from SamplesCode1
Closed-loop Matters: Dual Regression Networks for Single Image Super-ResolutionCode1
Collaborative Feedback Discriminative Propagation for Video Super-ResolutionCode1
Diffusion Prior Interpolation for Flexibility Real-World Face Super-ResolutionCode1
Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal LearningCode1
CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image SynthesisCode1
4DFlowNet: Super-Resolution 4D Flow MRI using Deep Learning and Computational Fluid DynamicsCode1
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-ResolutionCode1
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-ResolutionCode1
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data CharacteristicCode1
Collapsible Linear Blocks for Super-Efficient Super ResolutionCode1
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-ResolutionCode1
Discovering Distinctive "Semantics" in Super-Resolution NetworksCode1
DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion ModelsCode1
Catch-A-Waveform: Learning to Generate Audio from a Single Short ExampleCode1
Cascaded Temporal Updating Network for Efficient Video Super-ResolutionCode1
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-ResolutionCode1
Diffusion-based Blind Text Image Super-ResolutionCode1
CADyQ: Content-Aware Dynamic Quantization for Image Super-ResolutionCode1
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large InputCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified