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 551–600 of 1589 papers

TitleStatusHype
Application of convolutional neural networks in image super-resolution—0
Beyond Pretty Pictures: Combined Single- and Multi-Image Super-resolution for Sentinel-2 Images—0
Advancing Image Super-resolution Techniques in Remote Sensing: A Comprehensive Survey—0
SeG-SR: Integrating Semantic Knowledge into Remote Sensing Image Super-Resolution via Vision-Language ModelCode0
TextSR: Diffusion Super-Resolution with Multilingual OCR Guidance—0
Burst Image Super-Resolution via Multi-Cross Attention Encoding and Multi-Scan State-Space Decoding—0
Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment—0
BadSR: Stealthy Label Backdoor Attacks on Image Super-Resolution—0
Every Pixel Tells a Story: End-to-End Urdu Newspaper OCR—0
CLIP-aware Domain-Adaptive Super-Resolution—0
Trustworthy Image Super-Resolution via Generative PseudoinverseCode0
HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-ResolutionCode0
ORL-LDM: Offline Reinforcement Learning Guided Latent Diffusion Model Super-Resolution Reconstruction—0
Super-Resolution Generative Adversarial Networks based Video Enhancement—0
High-Frequency Prior-Driven Adaptive Masking for Accelerating Image Super-ResolutionCode0
Joint Low-level and High-level Textual Representation Learning with Multiple Masking Strategies—0
StereoINR: Cross-View Geometry Consistent Stereo Super Resolution with Implicit Neural Representation—0
A Fusion-Guided Inception Network for Hyperspectral Image Super-ResolutionCode0
Optimization of Module Transferability in Single Image Super-Resolution: Universality Assessment and Cycle Residual Blocks—0
Unaligned RGB Guided Hyperspectral Image Super-Resolution with Spatial-Spectral Concordance—0
GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution—0
Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional NetworkCode0
Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution—0
Predicting Stress in Two-phase Random Materials and Super-Resolution Method for Stress Images by Embedding Physical Information—0
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution—0
NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study—0
DSPO: Direct Semantic Preference Optimization for Real-World Image Super-Resolution—0
ARAP-GS: Drag-driven As-Rigid-As-Possible 3D Gaussian Splatting Editing with Diffusion Prior—0
Global and Local Mamba Network for Multi-Modality Medical Image Super-Resolution—0
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution—0
NCAP: Scene Text Image Super-Resolution with Non-CAtegorical PriorCode0
DiT4SR: Taming Diffusion Transformer for Real-World Image Super-Resolution—0
A Lightweight Image Super-Resolution Transformer Trained on Low-Resolution Images OnlyCode0
Deterministic Medical Image Translation via High-fidelity Brownian Bridges—0
L^2FMamba: Lightweight Light Field Image Super-Resolution with State Space Model—0
Burst Image Super-Resolution with Mamba—0
Single-Step Latent Consistency Model for Remote Sensing Image Super-Resolution—0
Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model—0
Semantic-Guided Global-Local Collaborative Networks for Lightweight Image Super-ResolutionCode0
Toward task-driven satellite image super-resolution—0
Involution and BSConv Multi-Depth Distillation Network for Lightweight Image Super-Resolution—0
CTSR: Controllable Fidelity-Realness Trade-off Distillation for Real-World Image Super Resolution—0
The Power of Context: How Multimodality Improves Image Super-Resolution—0
A super-resolution reconstruction method for lightweight building images based on an expanding feature modulation network—0
C2D-ISR: Optimizing Attention-based Image Super-resolution from Continuous to Discrete Scales—0
Rethinking Image Evaluation in Super-Resolution—0
RainScaleGAN: a Conditional Generative Adversarial Network for Rainfall DownscalingCode0
FourierSR: A Fourier Token-based Plugin for Efficient Image Super-Resolution—0
Dual-domain Modulation Network for Lightweight Image Super-Resolution—0
QUIET-SR: Quantum Image Enhancement Transformer for Single Image Super-Resolution—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
8SwinFIRPSNR29.36—Unverified
9CPAT+PSNR29.36—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