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Methods/Instance Normalization

Instance Normalization

GeneralIntroduced 2000572 papers

Description

Instance Normalization (also known as contrast normalization) is a normalization layer where:

y_{tijk} = \frac{x_{tijk} - \mu_{ti}}{\sqrt{\sigma_{ti}^2 + \epsilon}}, \quad \mu_{ti} = \frac{1}{HW}\sum_{l=1}^W \sum_{m=1}^H x_{tilm}, \quad \sigma_{ti}^2 = \frac{1}{HW}\sum_{l=1}^W \sum_{m=1}^H (x_{tilm} - \mu_{ti})^2.

This prevents instance-specific mean and covariance shift simplifying the learning process. Intuitively, the normalization process allows to remove instance-specific contrast information from the content image in a task like image stylization, which simplifies generation.

Papers Using This Method

Prmpt2Adpt: Prompt-Based Zero-Shot Domain Adaptation for Resource-Constrained Environments2025-06-20 MD-ViSCo: A Unified Model for Multi-Directional Vital Sign Waveform Conversion2025-06-10 Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels2025-05-28 Unpaired Image-to-Image Translation for Segmentation and Signal Unmixing2025-05-27 Style Transfer with Diffusion Models for Synthetic-to-Real Domain Adaptation2025-05-22 Towards Generating Realistic Underwater Images2025-05-20 3D Reconstruction from Sketches2025-05-20 Fault Diagnosis across Heterogeneous Domains via Self-Adaptive Temporal-Spatial Attention and Sample Generation2025-05-16 A Deep Learning-Driven Inhalation Injury Grading Assistant Using Bronchoscopy Images2025-05-13 FIC-TSC: Learning Time Series Classification with Fisher Information Constraint2025-05-09 Revolutionizing Brain Tumor Imaging: Generating Synthetic 3D FA Maps from T1-Weighted MRI using CycleGAN Models2025-05-06 MRI motion correction via efficient residual-guided denoising diffusion probabilistic models2025-05-06 Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer2025-05-05 ClearVision: Leveraging CycleGAN and SigLIP-2 for Robust All-Weather Classification in Traffic Camera Imagery2025-04-28 Attention-Based Multiscale Temporal Fusion Network for Uncertain-Mode Fault Diagnosis in Multimode Processes2025-04-07 Tune It Up: Music Genre Transfer and Prediction2025-03-27 Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired Training2025-03-19 Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin2025-03-18 CyclePose -- Leveraging Cycle-Consistency for Annotation-Free Nuclei Segmentation in Fluorescence Microscopy2025-03-14 Feature Fusion Attention Network with CycleGAN for Image Dehazing, De-Snowing and De-Raining2025-03-08