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 551–575 of 3874 papers

TitleStatusHype
CVAE-GAN: Fine-Grained Image Generation through Asymmetric TrainingCode1
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-ResolutionCode1
GRFormer: Grouped Residual Self-Attention for Lightweight Single Image Super-ResolutionCode1
Heterogeneous Mixture of Experts for Remote Sensing Image Super-ResolutionCode1
Cross-View Hierarchy Network for Stereo Image Super-ResolutionCode1
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time seriesCode1
CSAKD: Knowledge Distillation with Cross Self-Attention for Hyperspectral and Multispectral Image FusionCode1
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-ResolutionCode1
Cross-Resolution Flow Propagation for Foveated Video Super-ResolutionCode1
GCRDN: Global Context-Driven Residual Dense Network for Remote Sensing Image SuperresolutionCode1
Generative AI for Rapid Diffusion MRI with Improved Image Quality, Reliability and GeneralizabilityCode1
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed TomographyCode1
Catch-A-Waveform: Learning to Generate Audio from a Single Short ExampleCode1
GAN Prior based Null-Space Learning for Consistent Super-ResolutionCode1
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-ResolutionCode1
Cross-receptive Focused Inference Network for Lightweight Image Super-ResolutionCode1
Gated Fusion Network for Degraded Image Super ResolutionCode1
Cascaded Temporal Updating Network for Efficient Video Super-ResolutionCode1
Cross-Scale Internal Graph Neural Network for Image Super-ResolutionCode1
Cross-Scope Spatial-Spectral Information Aggregation for Hyperspectral Image Super-ResolutionCode1
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-ResolutionCode1
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-ResolutionCode1
3D Human Pose, Shape and Texture from Low-Resolution Images and VideosCode1
Creating High Resolution Images with a Latent Adversarial GeneratorCode1
Gated Multi-Resolution Transfer Network for Burst Restoration and EnhancementCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified