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

Showing 651675 of 3874 papers

TitleStatusHype
RealViformer: Investigating Attention for Real-World Video Super-ResolutionCode2
Research on Image Super-Resolution Reconstruction Mechanism based on Convolutional Neural Network0
MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby ReferencesCode1
UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt0
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients0
Deconvolution with a Box0
Leveraging Segment Anything Model in Identifying Buildings within Refugee Camps (SAM4Refugee) from Satellite Imagery for Humanitarian OperationsCode0
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse ProblemsCode0
2D Neural Fields with Learned Discontinuities0
Backdoor Attacks against Image-to-Image Networks0
Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKVCode2
Arbitrary-Scale Video Super-Resolution with Structural and Textural PriorsCode2
Task-driven single-image super-resolution reconstruction of document scans0
Region Attention Transformer for Medical Image RestorationCode1
Global Spatial-Temporal Information-based Residual ConvLSTM for Video Space-Time Super-Resolution0
Spatially-Variant Degradation Model for Dataset-free Super-resolutionCode0
Pairwise Distance Distillation for Unsupervised Real-World Image Super-ResolutionCode1
VEnhancer: Generative Space-Time Enhancement for Video Generation0
UnmixingSR: Material-aware Network with Unsupervised Unmixing as Auxiliary Task for Hyperspectral Image Super-resolution0
Enhancing super-resolution ultrasound localisation through multi-frame deconvolution exploiting spatiotemporal coherence0
Neuromorphic Imaging with Super-Resolution0
HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution0
Self-Prior Guided Mamba-UNet Networks for Medical Image Super-Resolution0
Deform-Mamba Network for MRI Super-Resolution0
Layered Diffusion Model for One-Shot High Resolution Text-to-Image Synthesis0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41Unverified