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 641–650 of 3874 papers

TitleStatusHype
CVAE-GAN: Fine-Grained Image Generation through Asymmetric TrainingCode1
Compression-Aware Video Super-ResolutionCode1
AeroRIT: A New Scene for Hyperspectral Image AnalysisCode1
D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-ResolutionCode1
Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and ReportCode1
Computing Multiple Image Reconstructions with a Single HypernetworkCode1
CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-ResolutionCode1
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image GenerationCode1
DHP: Differentiable Meta Pruning via HyperNetworksCode1
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image BlendingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified