Super-Resolution
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Benchmarks
hradis et al dataset
Most implemented
Generative Adversarial Networks
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Image Super-Resolution Using Deep Convolutional Networks
SinGAN: Learning a Generative Model from a Single Natural Image
Papers
SpectraLift: Physics-Guided Spectral-Inversion Network for Self-Supervised Hyperspectral Image Super-Resolution
High-spatial-resolution hyperspectral images (HSI) are essential for applications such as remote sensing and medical imaging, yet HSI sensors inherently trade spatial detail for spectral richness. Fusing high-spatial-res…
Hyperspectral Image Super-ResolutionImage Super-ResolutionSpectral ReconstructionSSIM+1IM-LUT: Interpolation Mixing Look-Up Tables for Image Super-Resolution
Super-resolution (SR) has been a pivotal task in image processing, aimed at enhancing image resolution across various applications. Recently, look-up table (LUT)-based approaches have attracted interest due to their effi…
Image Super-ResolutionSuper-ResolutionPanoDiff-SR: Synthesizing Dental Panoramic Radiographs using Diffusion and Super-resolution
There has been increasing interest in the generation of high-quality, realistic synthetic medical images in recent years. Such synthetic datasets can mitigate the scarcity of public datasets for artificial intelligence r…
Super-ResolutionHNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation
In medical image segmentation, convolutional neural networks (CNNs) and transformers are dominant. For CNNs, given the local receptive fields of convolutional layers, long-range spatial correlations are captured through …
GPUImage SegmentationMedical Image SegmentationSemantic Segmentation+14KAgent: Agentic Any Image to 4K Super-Resolution
We present 4KAgent, a unified agentic super-resolution generalist system designed to universally upscale any image to 4K resolution (and even higher, if applied iteratively). Our system can transform images from extremel…
4kImage Quality AssessmentSuper-ResolutionEAMamba: Efficient All-Around Vision State Space Model for Image Restoration
Image restoration is a key task in low-level computer vision that aims to reconstruct high-quality images from degraded inputs. The emergence of Vision Mamba, which draws inspiration from the advanced state space model M…
AllDeblurringDenoisingImage Restoration+2