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 1026–1050 of 3874 papers

TitleStatusHype
Joint Range-Velocity-Azimuth Estimation for OFDM-Based Integrated Sensing and Communication—0
A 3D super-resolution of wind fields via physics-informed pixel-wise self-attention generative adversarial network—0
ZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields—0
SPIRE: Semantic Prompt-Driven Image Restoration—0
Scale-Equivariant Imaging: Self-Supervised Learning for Image Super-Resolution and DeblurringCode1
Image Restoration Through Generalized Ornstein-Uhlenbeck BridgeCode1
FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipeline—0
TMP: Temporal Motion Propagation for Online Video Super-ResolutionCode1
Guided Image Restoration via Simultaneous Feature and Image Guided Fusion—0
CartoMark: a benchmark dataset for map pattern recognition and 1 map content retrieval with machine intelligence—0
Diffusion-based Blind Text Image Super-ResolutionCode1
EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset—0
Semantic Lens: Instance-Centric Semantic Alignment for Video Super-ResolutionCode1
CoIE: Chain-of-Instruct Editing for Multi-Attribute Face Manipulation—0
Toward Real World Stereo Image Super-Resolution via Hybrid Degradation Model and Discriminator for Implied Stereo Image InformationCode0
Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements—0
Hyper-Restormer: A General Hyperspectral Image Restoration Transformer for Remote Sensing Imaging—0
Super-Resolution on Rotationally Scanned Photoacoustic Microscopy Images Incorporating Scanning PriorCode0
TULIP: Transformer for Upsampling of LiDAR Point CloudsCode1
Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-ResolutionCode3
Precipitation Downscaling with Spatiotemporal Video Diffusion—0
Photorealistic Video Generation with Diffusion Models—0
Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-ResolutionCode0
SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-ResolutionCode1
Transformer-based Selective Super-Resolution for Efficient Image RefinementCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified