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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 71–80 of 93 papers

TitleStatusHype
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging—0
SIDNet: Learning Shading-aware Illumination Descriptor for Image Harmonization—0
Painterly Image Harmonization via Adversarial Residual Learning—0
PHNet: Patch-based Normalization for Portrait Harmonization—0
Quantitative Metrics for Benchmarking Medical Image Harmonization—0
Retrieval Augmented Image Harmonization—0
RiCS: A 2D Self-Occlusion Map for Harmonizing Volumetric Objects—0
RPNR: Robust-Perception Neural Reshading—0
SceneBooth: Diffusion-based Framework for Subject-preserved Text-to-Image Generation—0
Segment Anything Model Meets Image Harmonization—0
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