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

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Showing 576–600 of 3874 papers

TitleStatusHype
Generative Adversarial Super-Resolution at the Edge with Knowledge DistillationCode1
Joint Learning Content and Degradation Aware Feature for Blind Super-ResolutionCode1
DSR: Towards Drone Image Super-ResolutionCode1
RZSR: Reference-based Zero-Shot Super-Resolution with Depth Guided Self-ExemplarsCode1
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionCode1
Sliding Window Recurrent Network for Efficient Video Super-ResolutionCode1
Fast Nearest Convolution for Real-Time Efficient Image Super-ResolutionCode1
HST: Hierarchical Swin Transformer for Compressed Image Super-resolutionCode1
Learning Degradation Representations for Image DeblurringCode1
Hard-Constrained Deep Learning for Climate DownscalingCode1
Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolutionCode1
Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-ResolutionCode1
Perception-Distortion Balanced ADMM Optimization for Single-Image Super-ResolutionCode1
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object DetectionCode1
Rethinking Degradation: Radiograph Super-Resolution via AID-SRGANCode1
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 PSNR20.41—Unverified