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
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-ResolutionCode1
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image GenerationCode1
Anchor-based Plain Net for Mobile Image Super-ResolutionCode1
CSAKD: Knowledge Distillation with Cross Self-Attention for Hyperspectral and Multispectral Image FusionCode1
Accelerating Diffusion Models for Inverse Problems through Shortcut SamplingCode1
Diffusion Prior Interpolation for Flexibility Real-World Face Super-ResolutionCode1
Compression-Aware Video Super-ResolutionCode1
Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolutionCode1
Computing Multiple Image Reconstructions with a Single HypernetworkCode1
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-ResolutionCode1
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse ProblemsCode1
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-ResolutionCode1
Diffusion Models Beat GANs on Image ClassificationCode1
Combining Attention Module and Pixel Shuffle for License Plate Super-ResolutionCode1
Diffusion-based Blind Text Image Super-ResolutionCode1
Collaborative Feedback Discriminative Propagation for Video Super-ResolutionCode1
Collapsible Linear Blocks for Super-Efficient Super ResolutionCode1
Component Divide-and-Conquer for Real-World Image Super-ResolutionCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion ModelsCode1
Discovering Distinctive "Semantics" in Super-Resolution NetworksCode1
Closed-loop Matters: Dual Regression Networks for Single Image Super-ResolutionCode1
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data CharacteristicCode1
ControlSR: Taming Diffusion Models for Consistent Real-World Image Super ResolutionCode1
CNN-generated images are surprisingly easy to spot... for nowCode1
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual ApproximatorsCode1
DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution ModelsCode1
Detail-Preserving Transformer for Light Field Image Super-ResolutionCode1
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-ResolutionCode1
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-ResolutionCode1
Designing a Practical Degradation Model for Deep Blind Image Super-ResolutionCode1
DHP: Differentiable Meta Pruning via HyperNetworksCode1
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical SystemsCode1
AdaPool: Exponential Adaptive Pooling for Information-Retaining DownsamplingCode1
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image BlendingCode1
AdaDM: Enabling Normalization for Image Super-ResolutionCode1
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and LatencyCode1
A Benchmark for Chinese-English Scene Text Image Super-resolutionCode1
Catch-A-Waveform: Learning to Generate Audio from a Single Short ExampleCode1
CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image SynthesisCode1
DEPTHOR: Depth Enhancement from a Practical Light-Weight dToF Sensor and RGB ImageCode1
Discrete Cosine Transform Network for Guided Depth Map Super-ResolutionCode1
DynaVSR: Dynamic Adaptive Blind Video Super-ResolutionCode1
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large InputCode1
Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV TrackingCode1
CADyQ: Content-Aware Dynamic Quantization for Image Super-ResolutionCode1
C3-STISR: Scene Text Image Super-resolution with Triple CluesCode1
Activating Wider Areas in Image Super-ResolutionCode1
Degradation-Aware Self-Attention Based Transformer for Blind Image Super-ResolutionCode1
A heterogeneous group CNN for image super-resolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified