Image composition toolbox: everything you want to know about image composition or object insertion
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Updated
Feb 8, 2025 - Python
Image composition toolbox: everything you want to know about image composition or object insertion
High-Resolution Image/Video Harmonization [ECCV 2022]
[WACV2021] Foreground-aware Semantic Representations for Image Harmonization https://arxiv.org/abs/2006.00809
[CVPR 2021] Region-aware Adaptive Instance Normalization for Image Harmonization
A controllable image composition model which could be used for image blending, image harmonization, view synthesis.
[CVPR 2022] We unify pixel-to-pixel transformation and color-to-color transformation in a coherent framework for high-resolution image harmonization. We also release 100 high-resolution real composite images for evaluation.
A novel zero-shot image harmonization method based on Diffusion Model Prior.
This is the implementation of paper 'Hierarchical Dynamic Image Harmonization' (ACM MM'2023, Oral).
BargainNet: Background-Guided Domain Translation for Image Harmonization. Useful for Image harmonization, image composition, etc.
A novel image harmonization method based on Implicit Neural Representation.
[IJCAI 2022] The first public benchmark dataset for video harmonization. The code used in our paper "Deep Video Harmonization with Color Mapping Consistency", IJCAI 2022.
[AAAI 2023] Painterly image harmonization in both spatial domain and frequency domain.
[ACM MM 23] Deep image harmonization in Dual Color Space
[ICCV 2023] The code used in our paper "Deep Image Harmonization with Learnable Augmentation", ICCV2023.
[ICME2021]The first work on Deep Inharmonious Region Localization, which can help image harmonization in an adversarial way.
[ICCV 2023] The color checker based harmonization dataset contributed in our paper "Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation", ICCV2023.
The first rendered image harmonization dataset. Used in our paper "CharmNet: Deep Image Harmonization by Bridging the Reality Gap". Useful for Image harmonization, image composition, etc.
[AAAI 2022] MadisNet: Inharmonious Region Localization by Magnifying Domain Discrepancy
Harmonize the composite image created by copying and pasting a foreground object onto a different background.
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