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 201–225 of 3874 papers

TitleStatusHype
Physics Driven Deep Retinex Fusion for Adaptive Infrared and Visible Image FusionCode1
ADASR: An Adversarial Auto-Augmentation Framework for Hyperspectral and Multispectral Data FusionCode1
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-ResolutionCode1
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-ResolutionCode1
CADyQ: Content-Aware Dynamic Quantization for Image Super-ResolutionCode1
Deep Blind Video Super-resolutionCode1
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual NetworkCode1
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large InputCode1
Deep Burst Super-ResolutionCode1
Accelerating the Super-Resolution Convolutional Neural NetworkCode1
Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-ResolutionCode1
C3-STISR: Scene Text Image Super-resolution with Triple CluesCode1
2DQuant: Low-bit Post-Training Quantization for Image Super-ResolutionCode1
Accelerating Guided Diffusion Sampling with Splitting Numerical MethodsCode1
Burstormer: Burst Image Restoration and Enhancement TransformerCode1
Burst Super-Resolution with Diffusion Models for Improving Perceptual QualityCode1
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-ResolutionCode1
Deep Image PriorCode1
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion ModelsCode1
Aligned Structured Sparsity Learning for Efficient Image Super-ResolutionCode1
Adaptive Patch Exiting for Scalable Single Image Super-ResolutionCode1
2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learningCode1
A Lightweight Recurrent Aggregation Network for Satellite Video Super-ResolutionCode1
BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable AlignmentCode1
Deep Audio Waveform PriorCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified