Papers with Code 아카이브
Image Harmonization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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Image harmonization aims to modify the color of the composited region with respect to the specific background.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Region-aware Adaptive Instance Normalization for Image Harmonization
Inharmonious Region Localization
Deep Image Harmonization by Bridging the Reality Gap
Information-based Disentangled Representation Learning for Unsupervised MR Harmonization
Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization
Cut-and-Paste Object Insertion by Enabling Deep Image Prior for Reshading
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging
BargainNet: Background-Guided Domain Translation for Image Harmonization
Generative Hierarchical Features from Synthesizing Images
Foreground-aware Semantic Representations for Image Harmonization
DoveNet: Deep Image Harmonization via Domain Verification
Image Harmonization Dataset iHarmony4: HCOCO, HAdobe5k, HFlickr, and Hday2night
Improving the Harmony of the Composite Image by Spatial-Separated Attention Module
Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpart
Deep Image Harmonization
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