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The goal of image composition is merging a foreground object into a background image to obtain a realistic composite image.
Poisson image editing
Patrick Pérez, Michel Gangnet, and Andrew Blake · 2003
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, and Eero P. Simoncelli · 2004
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Deep image harmonization
Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, and Ming-Hsuan Yang · 2017
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The open images dataset v4
Alina Kuznetsova, Hassan Rom, Neil Gordon Alldrin, Jasper R. R. Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Alexander Kolesnikov, Tom Duerig, and Vittorio Ferrari · 2018
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Context-aware synthesis and placement of object instances
Donghoon Lee, Sifei Liu, Jinwei Gu, Ming-Yu Liu, Ming-Hsuan Yang, and Jan Kautz · 2018
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ST-GAN: spatial transformer generative adversarial networks for image compositing
Chen-Hsuan Lin, Ersin Yumer, Oliver Wang, Eli Shechtman, and Simon Lucey · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Toward realistic image compositing with adversarial learning
Bor-Chun Chen and Andrew Kae · 2019
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Interpreting the latent space of gans for semantic face editing
Yujun Shen, Jinjin Gu, Xiaoou Tang, and Bolei Zhou · 2019
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Spatial fusion GAN for image synthesis
Fangneng Zhan, Hongyuan Zhu, and Shijian Lu · 2019
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Deep image blending
Lingzhi Zhang, Tarmily Wen, and Jianbo Shi · 2019
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DoveNet: Deep image harmonization via domain verification
Wenyan Cong, Jianfu Zhang, Li Niu, Liu Liu, Zhixin Ling, Weiyuan Li, and Liqing Zhang · 2020
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Improving the harmony of the composite image by spatial-separated attention module
Xiaodong Cun and Chi-Man Pun · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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ARShadowGAN: Shadow generative adversarial network for augmented reality in single light scenes
Daquan Liu, Chengjiang Long, Hongpan Zhang, Hanning Yu, Xinzhi Dong, and Chunxia Xiao · 2020
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HyperStyle: Stylegan inversion with hypernetworks for real image editing
Yuval Alaluf, Omer Tov, Ron Mokady, Rinon Gal, and Amit H. Bermano · 2021
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Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
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High-resolution image harmonization via collaborative dual transformations
Wenyan Cong, Xinhao Tao, Li Niu, Jing Liang, Xuesong Gao, Qihao Sun, and Liqing Zhang · 2021
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Image harmonization with transformer
Zonghui Guo, Dongsheng Guo, Haiyong Zheng, Zhaorui Gu, Bing Zheng, and Junyu Dong · 2021
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Intrinsic image harmonization
Zonghui Guo, Haiyong Zheng, Yufeng Jiang, Zhaorui Gu, and Bing Zheng · 2021
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Ssh: A self-supervised framework for image harmonization
Yifan Jiang, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Kalyan Sunkavalli, Simon Chen, Sohrab Amirghodsi, Sarah Kong, and Zhangyang Wang · 2021
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Region-aware adaptive instance normalization for image harmonization
Jun Ling, Han Xue, Li Song, Rong Xie, and Xiao Gu · 2021
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Making images real again: A comprehensive survey on deep image composition
Li Niu, Wenyan Cong, Liu Liu, Yan Hong, Bo Zhang, Jing Liang, and Liqing Zhang · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Encoder-based domain tuning for fast personalization of text-to-image models
Rinon Gal, Moab Arar, Yuval Atzmon, Amit H. Bermano, Gal Chechik, and Daniel Cohen-Or · 2023
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Photoswap: Personalized subject swapping in images
Jing Gu, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, Hyun-Sun Jung, and Xin Wang · 2023
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Pct-net: Full resolution image harmonization using pixel-wise color transformations
Julian Jorge Andrade Guerreiro, Mitsuru Nakazawa, and Björn Stenger · 2023
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Putting people in their place: Affordance-aware human insertion into scenes
Sumith Kulal, Tim Brooks, Alex Aiken, Jiajun Wu, Jimei Yang, Jingwan Lu, Alexei A. Efros, and Krishna Kumar Singh · 2023
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Multi-concept customization of text-to-image diffusion
Nupur Kumari, Bin Zhang, Richard Zhang, Eli Shechtman, and Jun-Yan Zhu · 2023
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SSN: Soft shadow network for image compositing
Yichen Sheng, Jianming Zhang, and Bedrich Benes · 2021
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Foreground-aware semantic representations for image harmonization
Konstantin Sofiiuk, Polina Popenova, and Anton Konushin · 2021
Cited alongside, same era.
Deep image compositing
He Zhang, Jianming Zhang, Federico Perazzi, Zhe Lin, and Vishal M Patel · 2021
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Deep image-based illumination harmonization
Zhongyun Bao, Chengjiang Long, Gang Fu, Daquan Liu, Yuanzhen Li, Jiaming Wu, and Chunxia Xiao · 2022
Cited alongside, same era.
An image is worth one word: Personalizing text-to-image generation using textual inversion
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H. Bermano, Gal Chechik, and Daniel Cohen-Or · 2022
Cited alongside, same era.
SCS-Co: Self-consistent style contrastive learning for image harmonization
Yucheng Hang, Bin Xia, Wenming Yang, and Qingmin Liao · 2022
Cited alongside, same era.
Shadow generation for composite image in real-world scenes
Yan Hong, Li Niu, and Jianfu Zhang · 2022
Cited alongside, same era.
Closest in time.
Dongxu Li, Junnan Li, and Steven Hoi · 2023
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Dreamedit: Subject-driven image editing
Tianle Li, Max Ku, Cong Wei, and Wenhu Chen · 2023
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Lemart: Label-efficient masked region transform for image harmonization
Sheng Liu, Cong Phuoc Huynh, Cong Chen, Maxim Arap, and Raffay Hamid · 2023
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Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2023
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Objectstitch: Generative object compositing
Yi-Zhe Song, Zhifei Zhang, Zhe L. Lin, Scott D. Cohen, Brian L. Price, Jianming Zhang, Soo Ye Kim, and Daniel G. Aliaga · 2023
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Semi-supervised parametric real-world image harmonization
Ke Wang, Michaël Gharbi, He Zhang, Zhihao Xia, and Eli Shechtman · 2023
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ELITE: Encoding visual concepts into textual embeddings for customized text-to-image generation
Yuxiang Wei, Yabo Zhang, Zhilong Ji, Jinfeng Bai, Lei Zhang, and Wangmeng Zuo · 2023
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Paint by example: Exemplar-based image editing with diffusion models
Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen, and Fang Wen · 2023
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Controlcom: Controllable image composition using diffusion model
Bo Zhang, Yuxuan Duan, Jun Lan, Yan Hong, Huijia Zhu, Weiqiang Wang, and Li Niu · 2023
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Dreamedit: Subject-driven image editing
Tianle Li, Max Ku, Cong Wei, and Wenhu Chen · 2023
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Gligen: Open-set grounded text-to-image generation
Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, and YongJae Lee · 2023
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Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2023
Closest in time.
Objectstitch: Generative object compositing
Yi-Zhe Song, Zhifei Zhang, Zhe L. Lin, Scott D. Cohen, Brian L. Price, Jianming Zhang, Soo Ye Kim, and Daniel G. Aliaga · 2023
Closest in time.
Paint by example: Exemplar-based image editing with diffusion models
Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen, and Fang Wen · 2023
Closest in time.