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 951–975 of 3874 papers

TitleStatusHype
Fully Data-Driven Model for Increasing Sampling Rate Frequency of Seismic Data using Super-Resolution Generative Adversarial Networks—0
Improving Object Detection Quality in Football Through Super-Resolution Techniques—0
Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow—0
You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation—0
Reconfigurable AI Modules Aided Channel Estimation and MIMO Detection—0
Vision-Informed Flow Image Super-Resolution with Quaternion Spatial Modeling and Dynamic Flow Convolution—0
Bridging the Domain Gap: A Simple Domain Matching Method for Reference-based Image Super-Resolution in Remote Sensing—0
An efficient dual-branch framework via implicit self-texture enhancement for arbitrary-scale histopathology image super-resolution—0
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation—0
Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion modelsCode1
From Blurry to Brilliant Detection: YOLOv5-Based Aerial Object Detection with Super Resolution—0
Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution—0
When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges—0
Conditional Neural Video Coding with Spatial-Temporal Super-Resolution—0
Combined Generative and Predictive Modeling for Speech Super-resolution—0
Lumiere: A Space-Time Diffusion Model for Video GenerationCode3
LKFormer: Large Kernel Transformer for Infrared Image Super-ResolutionCode1
Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New MethodCode0
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution—0
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions—0
OFDM Reference Signal Pattern Design Criteria for Integrated Communication and Sensing—0
Efficient Image Super-Resolution via Symmetric Visual Attention Network—0
Real3D-Portrait: One-shot Realistic 3D Talking Portrait SynthesisCode5
The Devil is in the Details: Boosting Guided Depth Super-Resolution via Rethinking Cross-Modal Alignment and AggregationCode1
Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token DictionaryCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified