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Image Harmonization

Image harmonization aims to modify the color of the composited region with respect to the specific background.

Papers

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Showing 1–25 of 93 papers

TitleStatusHype
Gen-n-Val: Agentic Image Data Generation and Validation—0
DISARM++: Beyond scanner-free harmonizationCode0
Efficient and robust 3D blind harmonization for large domain gaps—0
Learning to Harmonize Cross-vendor X-ray Images by Non-linear Image Dynamics Correction—0
SceneBooth: Diffusion-based Framework for Subject-preserved Text-to-Image Generation—0
HarmonyIQA: Pioneering Benchmark and Model for Image Harmonization Quality Assessment—0
Retrieval Augmented Image Harmonization—0
Image Harmonization using Robust Restricted CDF Matching—0
BIFRÖST: 3D-Aware Image compositing with Language InstructionsCode1
Diffusion based multi-domain neuroimaging harmonization method with preservation of anatomical details—0
Beyond MR Image Harmonization: Resolution Matters Too—0
Unpaired Volumetric Harmonization of Brain MRI with Conditional Latent Diffusion—0
Diverse Image Harmonization—0
A review of handcrafted and deep radiomics in neurological diseases: transitioning from oncology to clinical neuroimaging—0
Flatfish Disease Detection Based on Part Segmentation Approach and Disease Image Generation—0
FreeCompose: Generic Zero-Shot Image Composition with Diffusion PriorCode1
A Domain Adaptation Model for Carotid Ultrasound: Image Harmonization, Noise Reduction, and Impact on Cardiovascular Risk Markers—0
Swin transformers are robust to distribution and concept drift in endoscopy-based longitudinal rectal cancer assessment—0
Training-and-Prompt-Free General Painterly Harmonization via Zero-Shot Disentenglement on Style and Content ReferencesCode2
DiffHarmony: Latent Diffusion Model Meets Image HarmonizationCode1
PHNet: Patch-based Normalization for Portrait Harmonization—0
Quantitative Metrics for Benchmarking Medical Image Harmonization—0
IGUANe: a 3D generalizable CycleGAN for multicenter harmonization of brain MR imagesCode1
RPNR: Robust-Perception Neural Reshading—0
Segment Anything Model Meets Image Harmonization—0
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