Papers SSIM
“SSIM” 태그가 달린 논문 1,336편 · 필터 해제
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 ModelsLeveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models
Super-resolution (SR) is an ill-posed inverse problem with many feasible solutions consistent with a given low-resolution image. On one hand, regressive SR models aim to balance fidelity and perceptual quality to yield a…
Semantic SimilaritySemantic Textual SimilaritySSIMSuper-ResolutionDiffusion-based Task-oriented Semantic Communications with Model Inversion Attack
Semantic communication has emerged as a promising neural network-based system design for 6G networks. Task-oriented semantic communication is a novel paradigm whose core goal is to efficiently complete specific tasks by …
Semantic CommunicationSSIMTransforming H&E images into IHC: A Variance-Penalized GAN for Precision Oncology
The overexpression of the human epidermal growth factor receptor 2 (HER2) in breast cells is a key driver of HER2-positive breast cancer, a highly aggressive subtype requiring precise diagnosis and targeted therapy. Immu…
Image-to-Image TranslationSpecificitySSIMCloud-Aware SAR Fusion for Enhanced Optical Sensing in Space Missions
Cloud contamination significantly impairs the usability of optical satellite imagery, affecting critical applications such as environmental monitoring, disaster response, and land-use analysis. This research presents a C…
Disaster ResponseImage ReconstructionSSIMTrans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction
Cone-beam computed tomography (CBCT) using only a few X-ray projection views enables faster scans with lower radiation dose, but the resulting severe under-sampling causes strong artifacts and poor spatial coverage. We a…
SSIMGratNet: A Photorealistic Neural Shader for Diffractive Surfaces
Structural coloration is commonly modeled using wave optics for reliable and photorealistic rendering of natural, quasi-periodic and complex nanostructures. Such models often rely on dense, preliminary or preprocessed da…
Data CompressionSSIMExploring Diffusion with Test-Time Training on Efficient Image Restoration
Image restoration faces challenges including ineffective feature fusion, computational bottlenecks and inefficient diffusion processes. To address these, we propose DiffRWKVIR, a novel framework unifying Test-Time Traini…
DenoisingImage RestorationSSIMSuper-ResolutionOptimization-Based Image Restoration under Implementation Constraints in Optical Analog Circuits
Optical analog circuits have attracted attention as promising alternatives to traditional electronic circuits for signal processing tasks due to their potential for low-latency and low-power computations. However, implem…
DenoisingImage RestorationSSIMLimited-Angle CBCT Reconstruction via Geometry-Integrated Cycle-domain Denoising Diffusion Probabilistic Models
Cone-beam CT (CBCT) is widely used in clinical radiotherapy for image-guided treatment, improving setup accuracy, adaptive planning, and motion management. However, slow gantry rotation limits performance by introducing …
ARCDenoisingSSIMBlastDiffusion: A Latent Diffusion Model for Generating Synthetic Embryo Images to Address Data Scarcity in In Vitro Fertilization
Accurately identifying oocytes that progress to the blastocyst stage is crucial in reproductive medicine, but the limited availability of annotated high-quality embryo images presents challenges for developing automated …
Data AugmentationDiagnosticSSIMEfficient multi-view training for 3D Gaussian Splatting
3D Gaussian Splatting (3DGS) has emerged as a preferred choice alongside Neural Radiance Fields (NeRF) in inverse rendering due to its superior rendering speed. Currently, the common approach in 3DGS is to utilize "singl…
3DGSInverse RenderingNeRFSSIMEnhancing Privacy: The Utility of Stand-Alone Synthetic CT and MRI for Tumor and Bone Segmentation
AI requires extensive datasets, while medical data is subject to high data protection. Anonymization is essential, but poses a challenge for some regions, such as the head, as identifying structures overlap with regions …
MS-SSIMSegmentationSSIMTumor SegmentationBemaGANv2: A Tutorial and Comparative Survey of GAN-based Vocoders for Long-Term Audio Generation
This paper presents a tutorial-style survey and implementation guide of BemaGANv2, an advanced GAN-based vocoder designed for high-fidelity and long-term audio generation. Built upon the original BemaGAN architecture, Be…
Audio GenerationFADSSIMGaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS
3D Gaussian Splatting (3DGS) has emerged as a powerful technique for radiance field rendering, but it typically requires millions of redundant Gaussian primitives, overwhelming memory and rendering budgets. Existing comp…
3DGSNeural RenderingSSIM