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 601–650 of 1589 papers

TitleStatusHype
Feature Alignment with Equivariant Convolutions for Burst Image Super-Resolution—0
Boosting Diffusion-Based Text Image Super-Resolution Model Towards Generalized Real-World Scenarios—0
Undertrained Image Reconstruction for Realistic Degradation in Blind Image Super-Resolution—0
BadRefSR: Backdoor Attacks Against Reference-based Image Super ResolutionCode0
Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization—0
MFSR: Multi-fractal Feature for Super-resolution Reconstruction with Fine Details Recovery—0
MambaLiteSR: Image Super-Resolution with Low-Rank Mamba using Knowledge Distillation—0
Data-driven Super-Resolution of Flood Inundation Maps using Synthetic SimulationsCode0
Image Super-Resolution with Guarantees via Conformalized Generative Models—0
Fast Omni-Directional Image Super-Resolution: Adapting the Implicit Image Function with Pixel and Semantic-Wise Spherical Geometric PriorsCode0
A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers—0
Exploring Linear Attention Alternative for Single Image Super-ResolutionCode0
Rethinking the Upsampling Layer in Hyperspectral Image Super Resolution—0
Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration—0
Binary Diffusion Probabilistic Model—0
Contrast: A Hybrid Architecture of Transformers and State Space Models for Low-Level Vision—0
State-of-the-Art Transformer Models for Image Super-Resolution: Techniques, Challenges, and Applications—0
Diff-Ensembler: Learning to Ensemble 2D Diffusion Models for Volume-to-Volume Medical Image Translation—0
Multi-Label Scene Classification in Remote Sensing Benefits from Image Super-Resolution—0
ADD: Attribution-Driven Data Augmentation Framework for Boosting Image Super-Resolution—0
Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution—0
Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution—0
TSP-Mamba: The Travelling Salesman Problem Meets Mamba for Image Super-resolution and Beyond—0
GDSR: Global-Detail Integration through Dual-Branch Network with Wavelet Losses for Remote Sensing Image Super-Resolution—0
Structural Similarity in Deep Features: Image Quality Assessment Robust to Geometrically Disparate Reference—0
YOLO-MST: Multiscale deep learning method for infrared small target detection based on super-resolution and YOLO—0
Uncertainty Estimation for Super-Resolution using ESRGAN—0
Flowing from Words to Pixels: A Framework for Cross-Modality Evolution—0
Sequence Matters: Harnessing Video Models in 3D Super-Resolution—0
CLIP-SR: Collaborative Linguistic and Image Processing for Super-Resolution—0
A Single-Frame and Multi-Frame Cascaded Image Super-Resolution Method—0
Super-Resolution for Remote Sensing Imagery via the Coupling of a Variational Model and Deep Learning—0
RealOSR: Latent Unfolding Boosting Diffusion-based Real-world Omnidirectional Image Super-ResolutionCode0
MPSI: Mamba enhancement model for pixel-wise sequential interaction Image Super-Resolution—0
Edge-SD-SR: Low Latency and Parameter Efficient On-device Super-Resolution with Stable Diffusion via Bidirectional Conditioning—0
LocalSR: Image Super-Resolution in Local Region—0
LossAgent: Towards Any Optimization Objectives for Image Processing with LLM AgentsCode0
Semantic Segmentation Prior for Diffusion-Based Real-World Super-Resolution—0
HIIF: Hierarchical Encoding based Implicit Image Function for Continuous Super-resolution—0
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution—0
Hierarchical Information Flow for Generalized Efficient Image Restoration—0
HAAT: Hybrid Attention Aggregation Transformer for Image Super-Resolution—0
HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion PriorCode0
FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution—0
From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task—0
HF-Diff: High-Frequency Perceptual Loss and Distribution Matching for One-Step Diffusion-Based Image Super-ResolutionCode0
Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-ResolutionCode0
Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolution—0
A Low-Resolution Image is Worth 1x1 Words: Enabling Fine Image Super-Resolution with Transformers and TaylorShift—0
ESC-MISR: Enhancing Spatial Correlations for Multi-Image Super-Resolution in Remote Sensing—0
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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