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

Showing 591600 of 3874 papers

TitleStatusHype
Physics-informed Deep Super-resolution for Spatiotemporal DataCode1
Robust Real-World Image Super-Resolution against Adversarial AttacksCode1
Meta-Learning based Degradation Representation for Blind Super-ResolutionCode1
Reference-based Image Super-Resolution with Deformable Attention TransformerCode1
NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT CamerasCode1
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-ResolutionCode1
Deep Audio Waveform PriorCode1
CADyQ: Content-Aware Dynamic Quantization for Image Super-ResolutionCode1
Towards Interpretable Video Super-Resolution via Alternating OptimizationCode1
Learning Mutual Modulation for Self-Supervised Cross-Modal Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41Unverified