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 21–30 of 3874 papers

TitleStatusHype
Adversarial Diffusion Compression for Real-World Image Super-ResolutionCode4
High-Resolution Image Synthesis with Latent Diffusion ModelsCode4
One-Step Effective Diffusion Network for Real-World Image Super-ResolutionCode4
SeeSR: Towards Semantics-Aware Real-World Image Super-ResolutionCode4
General Geospatial Inference with a Population Dynamics Foundation ModelCode3
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and AlignmentCode3
BasicVSR: The Search for Essential Components in Video Super-Resolution and BeyondCode3
AudioSR: Versatile Audio Super-resolution at ScaleCode3
Event-Enhanced Blurry Video Super-ResolutionCode3
HAT: Hybrid Attention Transformer for Image RestorationCode3
Show:102550
← PrevPage 3 of 388Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified