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Image matting refers to extracting precise alpha matte from natural images, and it plays a critical role in various downstream applications, such as image editing.
Traveling-matte photography and the blue-screen system: a tutorial paper
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On connectivity properties of grayscale pictures
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Image compositing fundamentals
Alvy Ray Smith · 1995
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Blue screen matting
Alvy Ray Smith and James F Blinn · 1996
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Environment matting and compositing
Douglas E Zongker, Dawn M Werner, Brian Curless, and David H Salesin · 1999
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Alpha estimation in natural images
Mark A Ruzon and Carlo Tomasi · 2000
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Method for removing from an image the background surrounding a selected object, 2000
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Comprehensive method for removing from an image the background surrounding a selected subject, October 17 2000
Arie Berman, Paul Vlahos, and Arpag Dadourian · 2000
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A bayesian approach to digital matting
Yung-Yu Chuang, Brian Curless, David H Salesin, and Richard Szeliski · 2001
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On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs
Yair Weiss and William T Freeman · 2001
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Video matting of complex scenes
Yung-Yu Chuang, Aseem Agarwala, Brian Curless, David H Salesin, and Richard Szeliski · 2002
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Image-based environment matting
Ydo Wexler, Andrew Fitzgibbon, and Andrew Zisserman · 2002
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Why is image quality assessment so difficult?
Zhou Wang, Alan C Bovik, and Ligang Lu · 2002
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Poisson image editing
Patrick Pérez, Michel Gangnet, and Andrew Blake · 2003
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Shadow matting and compositing
Yung-Yu Chuang, Dan B. Goldman, Brian Curless, D. Salesin, and Richard Szeliski · 2003
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Improved fast gauss transform and efficient kernel density estimation
Changjiang Yang, Ramani Duraiswami, Nail A Gumerov, and Larry Davis · 2003
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Poisson matting
Jian Sun, Jiaya Jia, Chi-Keung Tang, and Heung-Yeung Shum · 2004
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Background subtraction techniques: a review
Massimo Piccardi · 2004
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”grabcut”: interactive foreground extraction using iterated graph cuts
Carsten Rother, Vladimir Kolmogorov, and Andrew Blake · 2004
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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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An iterative optimization approach for unified image segmentation and matting
Jue Wang and Michael F Cohen · 2005
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Random walks for interactive alpha-matting
Leo Grady, Thomas Schiwietz, Shmuel Aharon, and Rüdiger Westermann · 2005
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Defocus video matting
Morgan McGuire, Wojciech Matusik, Hanspeter Pfister, John F Hughes, and Frédo Durand · 2005
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Defocus video matting
Morgan McGuire, Wojciech Matusik, Hanspeter Pfister, John F. Hughes, and Frédo Durand · 2005
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Eye gaze tracking techniques for interactive applications
Carlos H Morimoto and Marcio RM Mimica · 2005
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A closed-form solution to natural image matting
Anat Levin, Dani Lischinski, and Yair Weiss · 2006
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Easy matting-a stroke based approach for continuous image matting
Yu Guan, Wei Chen, Xiao Liang, Zi’ang Ding, and Qunsheng Peng · 2006
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Flash matting
Jian Sun, Yin Li, Sing Bing Kang, and Heung-Yeung Shum · 2006
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Natural video matting using camera arrays
Neel Joshi, Wojciech Matusik, and Shai Avidan · 2006
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Locally adapted hierarchical basis preconditioning
Richard Szeliski · 2006
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Optimized color sampling for robust matting
Jue Wang and Michael F Cohen · 2007
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A geodesic framework for fast interactive image and video segmentation and matting
Xue Bai and Guillermo Sapiro · 2007
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Image and video matting: A survey
Jue Wang and Michael F. Cohen · 2007
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Natural shadow matting
Tai-Pang Wu, Chi-Keung Tang, Michael S Brown, and Heung-Yeung Shum · 2007
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Simultaneous matting and compositing
Jue Wang and Michael F Cohen · 2007
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Fuzzymatte: A computationally efficient scheme for interactive matting
Yuanjie Zheng, Chandra Kambhamettu, Jingyi Yu, Thomas Bauer, and Karl Steiner · 2008
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Spectral matting
Anat Levin, Alex Rav-Acha, and Dani Lischinski · 2008
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Digital image forensics via intrinsic fingerprints
Ashwin Swaminathan, Min Wu, and K. J. Ray Liu · 2008
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High resolution matting via interactive trimap segmentation
Christoph Rhemann, Carsten Rother, Alex Rav-Acha, and Toby Sharp · 2008
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A perceptually motivated online benchmark for image matting
Christoph Rhemann, Carsten Rother, Jue Wang, Margrit Gelautz, Pushmeet Kohli, and Pamela Rott · 2009
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Learning based digital matting
Yuanjie Zheng and Chandra Kambhamettu · 2009
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The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
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Multi-scale image harmonization
Kalyan Sunkavalli, Micah K. Johnson, Wojciech Matusik, and Hanspeter Pfister · 2010
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Guided image filtering
Kaiming He, Jian Sun, and Xiaoou Tang · 2010
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The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher K. I. Williams, John M. Winn, and Andrew Zisserman · 2010
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Shared sampling for real-time alpha matting
Eduardo SL Gastal and Manuel M Oliveira · 2010
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Fast environment matting extraction using compressive sensing
Qi Duan, Jianfei Cai, Jianmin Zheng, and Weisi Lin · 2011
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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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Paired regions for shadow detection and removal
Ruiqi Guo, Qieyun Dai, and Derek Hoiem · 2012
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Improving image matting using comprehensive sampling sets
Ehsan Shahrian, Deepu Rajan, Brian Price, and Scott Cohen · 2013
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Knn matting
Qifeng Chen, Dingzeyu Li, and Chi-Keung Tang · 2013
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Data-driven hallucination of different times of day from a single outdoor photo
Yichang Shih, Sylvain Paris, Frédo Durand, and William T Freeman · 2013
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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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Salient object detection: A survey
Ali Borji, Ming-Ming Cheng, Huaizu Jiang, and Jia Li · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints
Tjeerd van der Ploeg, Peter C. Austin, and Ewout Willem Steyerberg · 2014
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Temporally coherent and spatially accurate video matting
Ehsan Shahrian, Brian L. Price, Scott D. Cohen, and Deepu Rajan · 2014
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Exposing digital image forgeries by illumination color classification
Shaziya Khan and Swati Shripad Kulkarni · 2015
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Deep automatic portrait matting
Xiaoyong Shen, Xin Tao, Hongyun Gao, Chao Zhou, and Jiaya Jia · 2016
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Natural image matting using deep convolutional neural networks
Donghyeon Cho, Yu-Wing Tai, and In-So Kweon · 2016
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A survey of semantic segmentation
Martin Thoma · 2016
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Aggregated residual transformations for deep neural networks
Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 2016
Cited alongside, same era.
Pyramid scene parsing network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2016
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2020
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Boosting semantic human matting with coarse annotations
Jinlin Liu, Yuan Yao, Wendi Hou, Miaomiao Cui, Xuansong Xie, Changshui Zhang, and Xian-sheng Hua · 2020
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Attention-guided hierarchical structure aggregation for image matting
Yu Qiao, Yuhao Liu, Xin Yang, Dongsheng Zhou, Mingliang Xu, Qiang Zhang, and Xiaopeng Wei · 2020
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Multi‐scale information assembly for image matting
Y. Qiao, Yuhao Liu, Qiang Zhu, Xin Yang, Yuxin Wang, Qiang Zhang, and Xiaopeng Wei · 2020
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Image segmentation using deep learning: A survey
Shervin Minaee, Yuri Boykov, Fatih Murat Porikli, Antonio J. Plaza, Nasser Kehtarnavaz, and Demetri Terzopoulos · 2020
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Scribblesup: Scribble-supervised convolutional networks for semantic segmentation
Di Lin, Jifeng Dai, Jiaya Jia, Kaiming He, and Jian Sun · 2016
Cited alongside, same era.
Automatic trimap generation and consistent matting for light-field images
Donghyeon Cho, Sunyeong Kim, Yu-Wing Tai, and In So Kweon · 2016
Cited alongside, same era.
Designing effective inter-pixel information flow for natural image matting
Yagiz Aksoy, Tunc Ozan Aydin, and Marc Pollefeys · 2017
Cited alongside, same era.
Deep image matting
Ning Xu, Brian Price, Scott Cohen, and Thomas Huang · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Fast deep matting for portrait animation on mobile phone
Bingke Zhu, Yingying Chen, Jinqiao Wang, Si Liu, Bo Zhang, and Ming Tang · 2017
Cited alongside, same era.
Hierarchical opacity propagation for image matting
Yaoyi Li, Qin Xu, and Hongtao Lu · 2020
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Representative graph neural network
Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, and Nong Sang · 2020
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Learning human-object interaction detection using interaction points
Tiancai Wang, Tong Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang, and Jian Sun · 2020
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Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2020
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Fast soft color segmentation
Naofumi Akimoto, Huachun Zhu, Yanghua Jin, and Yoshimitsu Aoki · 2020
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Learning to see through obstructions
Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, and Jia-Bin Huang · 2020
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Deep matting for cloud detection in remote sensing images
Wenyuan Li, Zhengxia Zou, and Zhenwei Shi · 2020
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Layered neural rendering for retiming people in video
Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, D. Salesin, William T. Freeman, and Michael Rubinstein · 2020
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Self-supervised visual feature learning with deep neural networks: A survey
Longlong Jing and Yingli Tian · 2020
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Deep automatic natural image matting
Jizhizi Li, Jing Zhang, and Dacheng Tao · 2021
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Tripartite information mining and integration for image matting
Yuhao Liu, Jiake Xie, Xiao Shi, Yu Qiao, Yujie Huang, Yong Tang, and Xin Yang · 2021
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Mask guided matting via progressive refinement network
Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, and Alan Yuille · 2021
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Improved image matting via real-time user clicks and uncertainty estimation
Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Hanqing Zhao, Weiming Zhang, and Nenghai Yu · 2021
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Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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ViTAE: Vision transformer advanced by exploring intrinsic inductive bias
Yufei Xu, Qiming Zhang, Jing Zhang, and Dacheng Tao · 2021
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Privacy-preserving portrait matting
Jizhizi Li, Sihan Ma, Jing Zhang, and Dacheng Tao · 2021
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Cascade image matting with deformable graph refinement
Zijian Yu, Xuhui Li, Huijuan Huang, Wen Zheng, and Li Chen · 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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Real-time high-resolution background matting
Shanchuan Lin, Andrey Ryabtsev, Soumyadip Sengupta, Brian L Curless, Steven M Seitz, and Ira Kemelmacher-Shlizerman · 2021
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Deep image matting with flexible guidance input
Hang Cheng, Shugong Xu, Xiufeng Jiang, and Rongrong Wang · 2021
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Semantic image matting
Yanan Sun, Chi-Keung Tang, and Yu-Wing Tai · 2021
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High-resolution deep image matting
Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, and Humphrey Shi · 2021
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Learning affinity-aware upsampling for deep image matting
Yutong Dai, Hao Lu, and Chunhua Shen · 2021
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Towards enhancing fine-grained details for image matting
Chang Liu, Henghui Ding, and Xudong Jiang · 2021
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Long-range feature propagating for natural image matting
Qinglin Liu, Haozhe Xie, Shengping Zhang, Bineng Zhong, and Rongrong Ji · 2021
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Virtual multi-modality self-supervised foreground matting for human-object interaction
Bo Xu, Han Huang, Cheng Lu, Ziwen Li, and Yandong Guo · 2021
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Highly efficient natural image matting
Yijie Zhong, Bo Li, Lv Tang, Hao Tang, and Shouhong Ding · 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, Gretchen Krueger, and Ilya Sutskever · 2021
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Concealed object detection
Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, and Ling Shao · 2021
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Dsp: Dual soft-paste for unsupervised domain adaptive semantic segmentation
Li Gao, Jing Zhang, Lefei Zhang, and Dacheng Tao · 2021
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Medical matting: a new perspective on medical segmentation with uncertainty
Lin Wang, Lie Ju, Donghao Zhang, Xin Wang, Wanji He, Yelin Huang, Zhiwen Yang, Xuan Yao, Xin Zhao, Xiufen Ye, et al · 2021
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Deep image compositing
He Zhang, Jianming Zhang, Federico Perazzi, Zhe Lin, and Vishal M Patel · 2021
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Total relighting: learning to relight portraits for background replacement
Rohit Pandey, Sergio Orts Escolano, Chloe Legendre, Christian Haene, Sofien Bouaziz, Christoph Rhemann, Paul Debevec, and Sean Fanello · 2021
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Omnimatte: associating objects and their effects in video
Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T Freeman, and Michael Rubinstein · 2021
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Real-time localized photorealistic video style transfer
Xide Xia, Tianfan Xue, Wei-sheng Lai, Zheng Sun, Abby Chang, Brian Kulis, and Jiawen Chen · 2021
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Deep video matting via spatio-temporal alignment and aggregation
Yanan Sun, Guanzhi Wang, Qiao Gu, Chi-Keung Tang, and Yu-Wing Tai · 2021
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Attention-guided temporally coherent video object matting
Yunke Zhang, Chi Wang, Miaomiao Cui, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Hujun Bao, Qixing Huang, and Weiwei Xu · 2021
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Bridging composite and real: towards end-to-end deep image matting
Jizhizi Li, Jing Zhang, Stephen J Maybank, and Dacheng Tao · 2022
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Deep interactive image matting with feature propagation
Henghui Ding, Hui Zhang, Chang Liu, and Xudong Jiang · 2022
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Matteformer: Transformer-based image matting via prior-tokens
GyuTae Park, SungJoon Son, JaeYoung Yoo, SeHo Kim, and Nojun Kwak · 2022
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Boosting robustness of image matting with context assembling and strong data augmentation
Yutong Dai, Brian Price, He Zhang, and Chunhua Shen · 2022
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Modnet: Real-time trimap-free portrait matting via objective decomposition
Zhanghan Ke, Jiayu Sun, Kaican Li, Qiong Yan, and Rynson WH Lau · 2022
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Transmatting: Enhancing transparent objects matting with transformers
Huanqia Cai, Fanglei Xue, Lele Xu, and Lili Guo · 2022
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User-guided deep human image matting using arbitrary trimaps
Xiaonan Fang, Song-Hai Zhang, Tao Chen, Xian-Chun Wu, Ariel Shamir, and Shimin Hu · 2022
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Image matting with deep gaussian process
Yuanjie Zheng, Yunshuai Yang, Tongtong Che, Sujuan Hou, Wenhui Huang, Yue Gao, and Ping Tan · 2022
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Situational perception guided image matting
Bo Xu, Jiake Xie, Han Huang, Ziwen Li, Cheng Lu, Yong Tang, and Yandong Guo · 2022
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Human instance matting via mutual guidance and multi-instance refinement
Yanan Sun, Chi-Keung Tang, and Yu-Wing Tai · 2022
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Dynamic graph message passing networks for visual recognition
Li Zhang, Mohan Chen, Anurag Arnab, Xiangyang Xue, and Philip H. S. Torr · 2022
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Remote sensing image fusion based on nsst and parameter adaptive pcnn
Yuetao Pan, Danfeng Liu, Liguo Wang, Jón Atli Benediktsson, and Shishuai Xing · 2022
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3d matting: A benchmark study on soft segmentation method for pulmonary nodules applied in computed tomography
Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Yi Luo, Huan Luo, Xin Wang, Wei Feng, Kaimin Song, et al · 2022
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Learned token pruning for transformers
Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun, and Kurt Keutzer · 2022
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Ic9600: A benchmark dataset for automatic image complexity assessment
Tinglei Feng, Yingjie Zhai, Jufeng Yang, Jie Liang, Deng-Ping Fan, Jing Zhang, Ling Shao, and Dacheng Tao · 2022
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Super-model ecosystem: A domain-adaptation perspective
Fengxiang He and Dacheng Tao · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Imagic: Text-based real image editing with diffusion models
Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, and Michal Irani · 2022
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Rethinking portrait matting with privacy preserving
Sihan Ma, Jizhizi Li, Jing Zhang, He Zhang, and Dacheng Tao · 2023
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Referring image matting
Jizhizi Li, Jing Zhang, and Dacheng Tao · 2023
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Vitaev2: Vision transformer advanced by exploring inductive bias for image recognition and beyond
Qiming Zhang, Yufei Xu, Jing Zhang, and Dacheng Tao · 2023
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Vision transformer with quadrangle attention
Qiming Zhang, Jing Zhang, Yufei Xu, and Dacheng Tao · 2023
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Video matting, watermarking and forensics
CR Dhivyaa and S Anbukkarasi · 2023
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Subject-aware image outpainting
Yongzhen Ke, Nan Sheng, Gang Wei, Kai Wang, Fan Qin, and Jing Guo · 2023
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Rgb-d human matting: A real-world benchmark dataset and a baseline method
Bo Peng, Mingliang Zhang, Jianjun Lei, Huazhu Fu, Haifeng Shen, and Qingming Huang · 2023
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