Fetching the paper…
Reading the bibliography…
In this paper, we present DeepSIM, a generative model for conditional image manipulation based on a single image.
Feature-based image metamorphosis
Thaddeus Beier and Shawn Neely · 1992
Earlier work this paper cites.
Image warping by radial basis functions: Applications to facial expressions
Nur Arad, Nira Dyn, Daniel Reisfeld, and Yehezkel Yeshurun · 1994
Earlier work this paper cites.
Image analogies
Aaron Hertzmann, Charles E. Jacobs, Nuria Oliver, Brian Curless, and David H. Salesin · 2001
Earlier work this paper cites.
Approximate thin plate spline mappings
Gianluca Donato and Serge Belongie · 2002
Earlier work this paper cites.
Poisson image editing
Patrick Pérez, Michel Gangnet, and Andrew Blake · 2003
Earlier work this paper cites.
Seam carving for content-aware image resizing
Shai Avidan and Ariel Shamir · 2007
Earlier work this paper cites.
Shift-map image editing
Yael Pritch, Eitam Kav-Venaki, and Shmuel Peleg · 2007
Earlier work this paper cites.
Computer vision: algorithms and applications
Richard Szeliski · 2010
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
Earlier work this paper cites.
Warpnet: Weakly supervised matching for single-view reconstruction
Angjoo Kanazawa, David W Jacobs, and Manmohan Chandraker · 2016
Earlier work this paper cites.
Precomputed real-time texture synthesis with markovian generative adversarial networks
Chuan Li and Michael Wand · 2016
Earlier work this paper cites.
Learning texture manifolds with the periodic spatial GAN
Urs Bergmann, Nikolay Jetchev, and Roland Vollgraf · 2017
Earlier work this paper cites.
Smart, sparse contours to represent and edit images
Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, and William T Freeman · 2017
Earlier work this paper cites.
Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
Cited alongside, same era.
Texture synthesis with spatial generative adversarial networks, 2017
Nikolay Jetchev, Urs Bergmann, and Roland Vollgraf · 2017
Cited alongside, same era.
Learning to discover cross-domain relations with generative adversarial networks
Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jungkwon Lee, and Jiwon Kim · 2017
Cited alongside, same era.
Unsupervised image-to-image translation networks
Ming-Yu Liu, Thomas Breuel, and Jan Kautz · 2017
Cited alongside, same era.
High-resolution image synthesis and semantic manipulation with conditional gans
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, and Bryan Catanzaro · 2017
Cited alongside, same era.
Deep image prior
Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 2018
Later among the works it cites.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Later among the works it cites.
Non-stationary texture synthesis by adversarial expansion, 2018
Yang Zhou, Zhen Zhu, Xiang Bai, Dani Lischinski, Daniel Cohen-Or, and Hui Huang · 2018
Later among the works it cites.
Generative visual manipulation on the natural image manifold
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, and Alexei A. Efros · 2018
Later among the works it cites.
A critical analysis of self-supervision, or what we can learn from a single image
Yuki M Asano, Christian Rupprecht, and Andrea Vedaldi · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A. Efros · 2017
Cited alongside, same era.
Toward multimodal image-to-image translation
Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A Efros, Oliver Wang, and Eli Shechtman · 2017
Cited alongside, same era.
Sketchygan: Towards diverse and realistic sketch to image synthesis, 2018
Wengling Chen and James Hays · 2018
Cited alongside, same era.
Stargan: Unified generative adversarial networks for multi-domain image-to-image translation
Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, and Jaegul Choo · 2018
Cited alongside, same era.
Autoaugment: Learning augmentation policies from data
Ekin D Cubuk, Barret Zoph, Dandelion Mane, Vijay Vasudevan, and Quoc V Le · 2018
Cited alongside, same era.
Viton: An image-based virtual try-on network
Xintong Han, Zuxuan Wu, Zhe Wu, Ruichi Yu, and Larry S Davis · 2018
Cited alongside, same era.
Internal distribution matching for natural image retargeting
Assaf Shocher, Shai Bagon, Phillip Isola, and Michal Irani · 2018
Cited alongside, same era.
Saypraseuth Mounsaveng, David Vazquez, Ismail Ben Ayed, and Marco Pedersoli · 2019
Later among the works it cites.
Semantic image synthesis with spatially-adaptive normalization
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu · 2019
Later among the works it cites.
Singan: Learning a generative model from a single natural image
Tamar Rott Shaham, Tali Dekel, and Tomer Michaeli · 2019
Later among the works it cites.
An augmentation strategy for medical image processing based on statistical shape model and 3d thin plate spline for deep learning
Zhixian Tang, Kun Chen, Mingyuan Pan, Manning Wang, and Zhijian Song · 2019
Later among the works it cites.
Data augmentation using learned transformations for one-shot medical image segmentation
Amy Zhao, Guha Balakrishnan, Fredo Durand, John V Guttag, and Adrian V Dalca · 2019
Later among the works it cites.
Reference-based sketch image colorization using augmented-self reference and dense semantic correspondence
Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, and Jaegul Choo · 2020
Closest in time.
Tuigan: Learning versatile image-to-image translation with two unpaired images
Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, and Jiebo Luo · 2020
Closest in time.
Interactive video stylization using few-shot patch-based training
Ondřej Texler, David Futschik, Michal kučera, Ondřej jamriška, Šárka Sochorová, Menclei Chai, Sergey Tulyakov, and Daniel SÝkora · 2020
Closest in time.