SSIM
1개 벤치마크 · 논문 1,336편 · 이 태스크의 논문 보기 →
Benchmarks
DocUNet
Most implemented
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Variational image compression with a scale hyperprior
End-to-end Optimized Image Compression
NBNet: Noise Basis Learning for Image Denoising with Subspace Projection
A Fully Progressive Approach to Single-Image Super-Resolution
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+1fastWDM3D: Fast and Accurate 3D Healthy Tissue Inpainting
Healthy tissue inpainting has significant applications, including the generation of pseudo-healthy baselines for tumor growth models and the facilitation of image registration. In previous editions of the BraTS Local Syn…
3D InpaintingDenoisingImage GenerationImage Registration+1COLI: A Hierarchical Efficient Compressor for Large Images
The escalating adoption of high-resolution, large-field-of-view imagery amplifies the need for efficient compression methodologies. Conventional techniques frequently fail to preserve critical image details, while data-d…
SSIMLatent Space Consistency for Sparse-View CT Reconstruction
Computed Tomography (CT) is a widely utilized imaging modality in clinical settings. Using densely acquired rotational X-ray arrays, CT can capture 3D spatial features. However, it is confronted with challenged such as s…
Computed Tomography (CT)Contrastive LearningCT ReconstructionImage Generation+1Residual Prior-driven Frequency-aware Network for Image Fusion
Image fusion aims to integrate complementary information across modalities to generate high-quality fused images, thereby enhancing the performance of high-level vision tasks. While global spatial modeling mechanisms sho…
SSIMAdaptive Gate-Aware Mamba Networks for Magnetic Resonance Fingerprinting
Magnetic Resonance Fingerprinting (MRF) enables fast quantitative imaging by matching signal evolutions to a predefined dictionary. However, conventional dictionary matching suffers from exponential growth in computation…
Magnetic Resonance FingerprintingMambaSSIMState Space Models