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Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-Curation


Aug 06, 2022
Lingzhi Zhang, Connelly Barnes, Kevin Wampler, Sohrab Amirghodsi, Eli Shechtman, Zhe Lin, Jianbo Shi

* 34 pages, 15 figures, ECCV 2022 

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Perceptual Artifacts Localization for Inpainting


Aug 05, 2022
Lingzhi Zhang, Yuqian Zhou, Connelly Barnes, Sohrab Amirghodsi, Zhe Lin, Eli Shechtman, Jianbo Shi


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Controllable Shadow Generation Using Pixel Height Maps


Jul 15, 2022
Yichen Sheng, Yifan Liu, Jianming Zhang, Wei Yin, A. Cengiz Oztireli, He Zhang, Zhe Lin, Eli Shechtman, Bedrich Benes

* 15 pages, 11 figures 

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RigNeRF: Fully Controllable Neural 3D Portraits


Jun 13, 2022
ShahRukh Athar, Zexiang Xu, Kalyan Sunkavalli, Eli Shechtman, Zhixin Shu

* The project page can be found here: http://shahrukhathar.github.io/2022/06/06/RigNeRF.html 

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ARF: Artistic Radiance Fields


Jun 13, 2022
Kai Zhang, Nick Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely

* Project page: https://www.cs.cornell.edu/projects/arf/ 

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BlobGAN: Spatially Disentangled Scene Representations


May 05, 2022
Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros

* Project webpage available at http://www.dave.ml/blobgan 

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Any-resolution Training for High-resolution Image Synthesis


Apr 14, 2022
Lucy Chai, Michael Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang


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Neural Neighbor Style Transfer


Mar 24, 2022
Nicholas Kolkin, Michal Kucera, Sylvain Paris, Daniel Sykora, Eli Shechtman, Greg Shakhnarovich

* Code for NNST-Opt available at https://github.com/nkolkin13/NeuralNeighborStyleTransfer 

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CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training


Mar 22, 2022
Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Eli Shechtman, Connelly Barnes, Jianming Zhang, Ning Xu, Sohrab Amirghodsi, Jiebo Luo

* 30 pages, 18 figures 

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InsetGAN for Full-Body Image Generation


Mar 14, 2022
Anna Frühstück, Krishna Kumar Singh, Eli Shechtman, Niloy J. Mitra, Peter Wonka, Jingwan Lu

* Project webpage and video available at http://afruehstueck.github.io/insetgan 

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