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Image composition aims to generate realistic composite image by inserting an object from one image into another background image, where the placement (e.g., location, size, occlusion) of inserted object may be unreasonable, which would significantly degrade the quality of the composite image.
ImageNet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Fei-Fei Li · 2009
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Exposing photo manipulation from shading and shadows
Eric Kee, James F O’brien, and Hany Farid · 2014
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Microsoft COCO: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Synthesizing training data for object detection in indoor scenes
Georgios Georgakis, Arsalan Mousavian, Alexander C. Berg, and Jana Kosecka · 2017
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GANs trained by a two time-scale update rule converge to a local nash equilibrium
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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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Places: A 10 million image database for scene recognition
Bolei Zhou, Agata Lapedriza, Aditya Khosla, Aude Oliva, and Antonio Torralba · 2017
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Modeling visual context is key to augmenting object detection datasets
Nikita Dvornik, Julien Mairal, and Cordelia Schmid · 2018
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Context-aware synthesis and placement of object instances
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Chen-Hsuan Lin, Ersin Yumer, Oliver Wang, Eli Shechtman, and Simon Lucey · 2018
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Fuwen Tan, Crispin Bernier, Benjamin Cohen, Vicente Ordonez, and Connelly Barnes · 2018
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InstaBoost: Boosting instance segmentation via probability map guided copy-pasting
Haoshu Fang, Jianhua Sun, Runzhong Wang, Minghao Gou, Yonglu Li, and Cewu Lu · 2019
Compositional GAN: Learning image-conditional binary composition
Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, and Trevor Darrell · 2020
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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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Simple copy-paste is a strong data augmentation method for instance segmentation
Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, and Barret Zoph · 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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MISC: Multi-condition injection and spatially-adaptive compositing for conditional person image synthesis
Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, and Boxin Shi · 2020
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Learning to generate synthetic data via compositing
Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, and Visesh Chari · 2019
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Data augmentation for object detection via progressive and selective instance-switching
Hao Wang, Qilong Wang, Fan Yang, Weiqi Zhang, and Wangmeng Zuo · 2019
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Learning object placement by inpainting for compositional data augmentation
Lingzhi Zhang, Tarmily Wen, Jie Min, Jiancong Wang, David Han, and Jianbo Shi · 2020
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What and where: A context-based recommendation system for object insertion
Song-Hai Zhang, Zhengping Zhou, Bin Liu, Xi Dong, and Peter Hall · 2020
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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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