Image Harmonization
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Benchmarks
Most implemented
Making Images Real Again: A Comprehensive Survey on Deep Image Composition
Spatial-Separated Curve Rendering Network for Efficient and High-Resolution Image Harmonization
Deep Image Harmonization
DISARM++: Beyond scanner-free harmonization
BIFRÖST: 3D-Aware Image compositing with Language Instructions
FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior
Papers
A Target-Free Harmonization Method for MRI
In MRI, variations in scan parameters, sequence, or hardware can lead to discrepancies in image appearance, even for the same subject. These inconsistencies, known as domain shifts, can hinder image analysis and degrade …
Image HarmonizationHarmoniDiff-RS: Training-Free Diffusion Harmonization for Satellite Image Composition
Satellite image composition plays a critical role in remote sensing applications such as data augmentation, disaste simulation, and urban planning. We propose HarmoniDiff-RS, a training-free diffusion-based framework for…
Image HarmonizationData AugmentationHistopathology Image Normalization via Latent Manifold Compaction
Batch effects arising from technical variations in histopathology staining protocols, scanners, and acquisition pipelines pose a persistent challenge for computational pathology, hindering cross-batch generalization and …
Representation LearningImage HarmonizationAcquisition of interpretable domain information during brain MR image harmonization for content-based image retrieval
Medical images like MR scans often show domain shifts across imaging sites due to scanner and protocol differences, which degrade machine learning performance in tasks such as disease classification. Domain harmonization…
Content-Based Image RetrievalRepresentation LearningImage ReconstructionImage HarmonizationRegion-to-Region: Enhancing Generative Image Harmonization with Adaptive Regional Injection
The goal of image harmonization is to adjust the foreground in a composite image to achieve visual consistency with the background. Recently, latent diffusion model (LDM) are applied for harmonization, achieving remarkab…
Image HarmonizationHarmonization in Magnetic Resonance Imaging: A Survey of Acquisition, Image-level, and Feature-level Methods
Magnetic resonance imaging (MRI) has greatly advanced neuroscience research and clinical diagnostics. However, imaging data collected across different scanners, acquisition protocols, or imaging sites often exhibit subst…
Image Harmonization