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Object removal has so far been dominated by the mask-and-inpaint paradigm, where the masked region is excluded from the input, leaving models relying on unmasked areas to inpaint the missing region.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli · 2004
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Patchmatch: A randomized correspondence algorithm for structural image editing
Connelly Barnes, Eli Shechtman, Adam Finkelstein, and Dan B Goldman · 2009
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Image quality metrics: Psnr vs. ssim
Alain Hore and Djemel Ziou · 2010
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A global sampling method for alpha matting
Kaiming He, Christoph Rhemann, Carsten Rother, Xiaoou Tang, and Jian Sun · 2011
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Defacto-deep fact validation
Jens Lehmann, Daniel Gerber, Mohamed Morsey, and Axel-Cyrille Ngonga Ngomo · 2012
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Conditional generative adversarial nets
Mehdi Mirza · 2014
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Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
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Gaussian error linear units (gelus)
Dan Hendrycks and Kevin Gimpel · 2016
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Progressive growing of gans for improved quality, stability, and variation
Tero Karras · 2017
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Decoupled weight decay regularization
I Loshchilov · 2017
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Neural discrete representation learning
Aaron Van Den Oord, Oriol Vinyals, et al · 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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Generative image inpainting with contextual attention
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, and Thomas S Huang · 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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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale
Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Alexander Kolesnikov, et al · 2020
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Taming transformers for high-resolution image synthesis
Patrick Esser, Robin Rombach, and Bjorn Ommer · 2021
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Image inpainting via conditional texture and structure dual generation
Xiefan Guo, Hongyu Yang, and Di Huang · 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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Blended latent diffusion
Omri Avrahami, Ohad Fried, and Dani Lischinski · 2023
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Zits++: Image inpainting by improving the incremental transformer on structural priors
Chenjie Cao, Qiaole Dong, and Yanwei Fu · 2023
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Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Sdxl: Improving latent diffusion models for high-resolution image synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach · 2023
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Yang Song, Prafulla Dhariwal, Mark Chen, and Ilya Sutskever · 2023
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Ziyu Wan, Jingbo Zhang, Dongdong Chen, and Jing Liao · 2021
Cited alongside, same era.
Parallel multi-resolution fusion network for image inpainting
Wentao Wang, Jianfu Zhang, Li Niu, Haoyu Ling, Xue Yang, and Liqing Zhang · 2021
Cited alongside, same era.
Wavefill: A wavelet-based generation network for image inpainting
Yingchen Yu, Fangneng Zhan, Shijian Lu, Jianxiong Pan, Feiying Ma, Xuansong Xie, and Chunyan Miao · 2021
Cited alongside, same era.
Cr-fill: Generative image inpainting with auxiliary contextual reconstruction
Yu Zeng, Zhe Lin, Huchuan Lu, and Vishal M. Patel · 2021
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Instructpix2pix: Learning to follow image editing instructions
Tim Brooks, Aleksander Holynski, and Alexei A Efros · 2022
Cited alongside, same era.
Incremental transformer structure enhanced image inpainting with masking positional encoding
Qiaole Dong, Chenjie Cao, and Yanwei Fu · 2022
Cited alongside, same era.
Reduce information loss in transformers for pluralistic image inpainting
Qiankun Liu, Zhentao Tan, Dongdong Chen, Qi Chu, Xiyang Dai, Yinpeng Chen, Mengchen Liu, Lu Yuan, and Nenghai Yu · 2022
Cited alongside, same era.
Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, and Wei Yang · 2023
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Inst-inpaint: Instructing to remove objects with diffusion models
Ahmet Burak Yildirim, Vedat Baday, Erkut Erdem, Aykut Erdem, and Aysegul Dundar · 2023
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X-paste: Revisiting scalable copy-paste for instance segmentation using clip and stablediffusion
Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, et al · 2023
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A task is worth one word: Learning with task prompts for high-quality versatile image inpainting, 2023
Junhao Zhuang, Yanhong Zeng, Wenran Liu, Chun Yuan, and Kai Chen · 2023
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Remove: A reference-free metric for object erasure
Aditya Chandrasekar, Goirik Chakrabarty, Jai Bardhan, Ramya Hebbalaguppe, and Prathosh AP · 2024
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Placing objects in context via inpainting for out-of-distribution segmentation
Pau de Jorge, Riccardo Volpi, Puneet K. Dakania, Philip H. S. Torr, and Rogez Gregory · 2024
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Coconut: Modernizing coco segmentation
Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, and Liang-Chieh Chen · 2024
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Clipaway: Harmonizing focused embeddings for removing objects via diffusion models, 2024
Yigit Ekin, Ahmet Burak Yildirim, Erdem Eren Caglar, Aykut Erdem, Erkut Erdem, and Aysegul Dundar · 2024
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Rethinking fid: Towards a better evaluation metric for image generation
Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti, and Sanjiv Kumar · 2024
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Brushnet: A plug-and-play image inpainting model with decomposed dual-branch diffusion, 2024
Xuan Ju, Xian Liu, Xintao Wang, Yuxuan Bian, Ying Shan, and Qiang Xu · 2024
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Alpha-clip: A clip model focusing on wherever you want
Zeyi Sun, Ye Fang, Tong Wu, Pan Zhang, Yuhang Zang, Shu Kong, Yuanjun Xiong, Dahua Lin, and Jiaqi Wang · 2024
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Objectdrop: Bootstrapping counterfactuals for photorealistic object removal and insertion
Daniel Winter, Matan Cohen, Shlomi Fruchter, Yael Pritch, Alex Rav-Acha, and Yedid Hoshen · 2024
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Improving text-guided object inpainting with semantic pre-inpainting
Yifu Chen, Jingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Zhineng Chen and Tao Mei · 2024
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