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HyperNST: Hyper-Networks for Neural Style Transfer


Aug 09, 2022
Dan Ruta, Andrew Gilbert, Saeid Motiian, Baldo Faieta, Zhe Lin, John Collomosse


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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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Layered Depth Refinement with Mask Guidance


Jun 07, 2022
Soo Ye Kim, Jianming Zhang, Simon Niklaus, Yifei Fan, Simon Chen, Zhe Lin, Munchurl Kim

* Accepted to CVPR 2022 (camera-ready version) 

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Shape-guided Object Inpainting


Apr 16, 2022
Yu Zeng, Zhe Lin, Vishal M. Patel


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GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing


Mar 31, 2022
Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen


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MAT: Mask-Aware Transformer for Large Hole Image Inpainting


Mar 30, 2022
Wenbo Li, Zhe Lin, Kun Zhou, Lu Qi, Yi Wang, Jiaya Jia

* Accepted to CVPR2022 Oral 

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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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CoGS: Controllable Generation and Search from Sketch and Style


Mar 17, 2022
Cusuh Ham, Gemma Canet Tarres, Tu Bui, James Hays, Zhe Lin, John Collomosse


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