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 1631–1640 of 3874 papers

TitleStatusHype
AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration—0
RefSR-NeRF: Towards High Fidelity and Super Resolution View SynthesisCode0
Rethinking Image Super Resolution From Long-Tailed Distribution Learning Perspective—0
Kernel Aware Resampler—0
Structure Aggregation for Cross-Spectral Stereo Image Guided DenoisingCode1
Compression-Aware Video Super-ResolutionCode1
Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-ResolutionCode1
One-Shot Model for Mixed-Precision Quantization—0
B-Spline Texture Coefficients Estimator for Screen Content Image Super-ResolutionCode1
Zero-Shot Dual-Lens Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified