SOTAVerified

Image Super-Resolution

Image Super-Resolution is a machine learning task where the goal is to increase the resolution of an image, often by a factor of 4x or more, while maintaining its content and details as much as possible. The end result is a high-resolution version of the original image. This task can be used for various applications such as improving image quality, enhancing visual detail, and increasing the accuracy of computer vision algorithms.

Papers

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Showing 1451–1500 of 1589 papers

TitleStatusHype
Textural-Perceptual Joint Learning for No-Reference Super-Resolution Image Quality AssessmentCode0
Image Super-resolution via Feature-augmented Random ForestCode0
RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-ResolutionCode0
Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial NetworksCode0
Image Super-Resolution via Dual-State Recurrent NetworksCode0
RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural NetworkCode0
Attention-based Multi-Reference Learning for Image Super-ResolutionCode0
Efficient Model-Based Deep Learning via Network Pruning and Fine-TuningCode0
CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature DenoiserCode0
RealOSR: Latent Unfolding Boosting Diffusion-based Real-world Omnidirectional Image Super-ResolutionCode0
Image Super-Resolution via Deterministic-Stochastic Synthesis and Local Statistical RectificationCode0
Image Super-Resolution via Deep Recursive Residual NetworkCode0
Image Super-Resolution via Attention based Back Projection NetworksCode0
Image Super-Resolution Using Dense Skip ConnectionsCode0
Cross-domain heterogeneous residual network for single image super-resolutionCode0
Image Super-Resolution Using a Wavelet-based Generative Adversarial NetworkCode0
Image Super-Resolution Improved by Edge InformationCode0
DPSRGAN: Dilation Patch Super-Resolution Generative Adversarial NetworksCode0
Domain Transfer in Latent Space (DTLS) Wins on Image Super-Resolution -- a Non-Denoising ModelCode0
Image Super-Resolution by Neural Texture TransferCode0
Volumetric Isosurface Rendering with Deep Learning-Based Super-ResolutionCode0
Image Super-Resolution as a Defense Against Adversarial AttacksCode0
Criteria Comparative Learning for Real-scene Image Super-ResolutionCode0
Distilling the Knowledge from Conditional Normalizing FlowsCode0
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip ConnectionsCode0
Image Reconstruction with Predictive Filter FlowCode0
Recurrent Back-Projection Network for Video Super-ResolutionCode0
Difficulty-aware Image Super Resolution via Deep Adaptive Dual-NetworkCode0
Image Processing Using Multi-Code GAN PriorCode0
Image Formation Model Guided Deep Image Super-ResolutionCode0
Image-Adaptive GAN based ReconstructionCode0
Reference-based Texture transfer for Single Image Super-resolution of Magnetic Resonance imagesCode0
Wavelet Domain Style Transfer for an Effective Perception-distortion Tradeoff in Single Image Super-ResolutionCode0
IG-CFAT: An Improved GAN-Based Framework for Effectively Exploiting Transformers in Real-World Image Super-ResolutionCode0
Wide Activation for Efficient and Accurate Image Super-ResolutionCode0
ASteISR: Adapting Single Image Super-resolution Pre-trained Model for Efficient Stereo Image Super-resolutionCode0
Hyperspectral Image Super-Resolution With Optimized RGB GuidanceCode0
Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive FieldsCode0
Hybrid Residual Attention Network for Single Image Super ResolutionCode0
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-ResolversCode0
Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity CluesCode0
Hybrid Function Sparse Representation towards Image Super ResolutionCode0
Residual Dense Network for Image RestorationCode0
Residual Dense Network for Image Super-ResolutionCode0
Detail-revealing Deep Video Super-resolutionCode0
Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-ResolutionCode0
HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion PriorCode0
Densely Residual Laplacian Super-ResolutionCode0
DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal imagesCode0
HiTSR: A Hierarchical Transformer for Reference-based Super-ResolutionCode0
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All datasetsSet14 - 4x upscalingBSD100 - 4x upscalingUrban100 - 4x upscalingManga109 - 4x upscalingSet5 - 2x upscalingSet14 - 2x upscalingSet5 - 3x upscalingBSD100 - 2x upscalingUrban100 - 2x upscalingSet14 - 3x upscalingUrban100 - 3x upscalingBSD100 - 3x upscaling

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DRCT-LPSNR29.54—Unverified
2HMA†PSNR29.51—Unverified
3Hi-IR-LPSNR29.49—Unverified
4HAT-LPSNR29.47—Unverified
5HAT_FIRPSNR29.44—Unverified
6DRCTPSNR29.4—Unverified
7HATPSNR29.38—Unverified
8CPAT+PSNR29.36—Unverified
9SwinFIRPSNR29.36—Unverified
10CPATPSNR29.34—Unverified
#ModelMetricClaimedVerifiedStatus
1DRCT-LPSNR28.16—Unverified
2HMA†PSNR28.13—Unverified
3Hi-IR-LPSNR28.13—Unverified
4HAT-LPSNR28.09—Unverified
5HAT_FIRPSNR28.07—Unverified
6CPAT+PSNR28.06—Unverified
7DRCTPSNR28.06—Unverified
8HATPSNR28.05—Unverified
9CPATPSNR28.04—Unverified
10SwinFIRPSNR28.03—Unverified
#ModelMetricClaimedVerifiedStatus
1Hi-IR-LPSNR28.72—Unverified
2DRCT-LPSNR28.7—Unverified
3HMA†PSNR28.69—Unverified
4HAT-LPSNR28.6—Unverified
5HAT_FIRPSNR28.43—Unverified
6DRCTPSNR28.4—Unverified
7HATPSNR28.37—Unverified
8CPAT+PSNR28.33—Unverified
9CPATPSNR28.22—Unverified
10PFTPSNR28.2—Unverified