Inofficial implementation of the paper "SinGAN: Learning a Generative Model from a Single Natural Image"
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Updated
Jun 22, 2022 - JavaScript
Inofficial implementation of the paper "SinGAN: Learning a Generative Model from a Single Natural Image"
[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.
Summarize different color transfer strategies for image harmonization task.
[ICCV 2023] The color checker based harmonization dataset contributed in our paper "Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation", ICCV2023.
Code Base for the work "Interactive Portrait Harmonization"
[ICME2021]The first work on Deep Inharmonious Region Localization, which can help image harmonization in an adversarial way.
The demos of our ECCV 22 paper, S2CRNet
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.
[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.
[AAAI 2023] Painterly image harmonization in both spatial domain and frequency domain.
[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.
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.
[TIP 2020] Improving the Harmony of the Composite Image by Spatial-Separated Attention Module
This is the implementation of paper 'Hierarchical Dynamic Image Harmonization' (ACM MM'2023, Oral).
A controllable image composition model which could be used for image blending, image harmonization, view synthesis.
A novel zero-shot image harmonization method based on Diffusion Model Prior.
[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.
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