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Eli Shechtman
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2020 – today
- 2024
- [c99]Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park:
One-Step Diffusion with Distribution Matching Distillation. CVPR 2024: 6613-6623 - [c98]Yinbo Chen, Oliver Wang, Richard Zhang, Eli Shechtman, Xiaolong Wang, Michaël Gharbi:
Image Neural Field Diffusion Models. CVPR 2024: 8007-8017 - [c97]Mang Tik Chiu, Yuqian Zhou, Lingzhi Zhang, Zhe Lin, Connelly Barnes, Sohrab Amirghodsi, Eli Shechtman, Humphrey Shi:
Brush2Prompt: Contextual Prompt Generator for Object Inpainting. CVPR 2024: 12636-12645 - [i93]Xiaojuan Wang, Taesung Park, Yang Zhou, Eli Shechtman, Richard Zhang:
Jump Cut Smoothing for Talking Heads. CoRR abs/2401.04718 (2024) - [i92]Hadi Alzayer, Zhihao Xia, Xuaner Zhang, Eli Shechtman, Jia-Bin Huang, Michaël Gharbi:
Magic Fixup: Streamlining Photo Editing by Watching Dynamic Videos. CoRR abs/2403.13044 (2024) - [i91]Nupur Kumari, Grace Su, Richard Zhang, Taesung Park, Eli Shechtman, Jun-Yan Zhu:
Customizing Text-to-Image Diffusion with Camera Viewpoint Control. CoRR abs/2404.12333 (2024) - [i90]Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, Michaël Gharbi:
Lazy Diffusion Transformer for Interactive Image Editing. CoRR abs/2404.12382 (2024) - [i89]Yiran Xu, Taesung Park, Richard Zhang, Yang Zhou, Eli Shechtman, Feng Liu, Jia-Bin Huang, Difan Liu:
VideoGigaGAN: Towards Detail-rich Video Super-Resolution. CoRR abs/2404.12388 (2024) - [i88]Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park:
Editable Image Elements for Controllable Synthesis. CoRR abs/2404.16029 (2024) - [i87]Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park:
Distilling Diffusion Models into Conditional GANs. CoRR abs/2405.05967 (2024) - [i86]Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman:
Improved Distribution Matching Distillation for Fast Image Synthesis. CoRR abs/2405.14867 (2024) - [i85]Yinbo Chen, Oliver Wang, Richard Zhang, Eli Shechtman, Xiaolong Wang, Michaël Gharbi:
Image Neural Field Diffusion Models. CoRR abs/2406.07480 (2024) - [i84]Zongze Wu, Nicholas Kolkin, Jonathan Brandt, Richard Zhang, Eli Shechtman:
TurboEdit: Instant text-based image editing. CoRR abs/2408.08332 (2024) - 2023
- [c96]S. Mahdi H. Miangoleh, Zoya Bylinskii, Eric Kee, Eli Shechtman, Yagiz Aksoy:
Realistic Saliency Guided Image Enhancement. CVPR 2023: 186-194 - [c95]Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu:
Multi-Concept Customization of Text-to-Image Diffusion. CVPR 2023: 1931-1941 - [c94]Mang Tik Chiu, Xuaner Zhang, Zijun Wei, Yuqian Zhou, Eli Shechtman, Connelly Barnes, Zhe Lin, Florian Kainz, Sohrab Amirghodsi, Humphrey Shi:
Automatic High Resolution Wire Segmentation and Removal. CVPR 2023: 2183-2192 - [c93]Ke Wang, Michaël Gharbi, He Zhang, Zhihao Xia, Eli Shechtman:
Semi-Supervised Parametric Real-World Image Harmonization. CVPR 2023: 5927-5936 - [c92]Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park:
Scaling up GANs for Text-to-Image Synthesis. CVPR 2023: 10124-10134 - [c91]Chuong Huynh, Yuqian Zhou, Zhe Lin, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Abhinav Shrivastava:
SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation Network. CVPR 2023: 14518-14527 - [c90]Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman:
Domain Expansion of Image Generators. CVPR 2023: 15933-15942 - [c89]Lingzhi Zhang, Zhengjie Xu, Connelly Barnes, Yuqian Zhou, Qing Liu, He Zhang, Sohrab Amirghodsi, Zhe Lin, Eli Shechtman, Jianbo Shi:
Perceptual Artifacts Localization for Image Synthesis Tasks. ICCV 2023: 7545-7556 - [c88]Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu:
Ablating Concepts in Text-to-Image Diffusion Models. ICCV 2023: 22634-22645 - [c87]Adéla Subrtová, Michal Lukác, Jan Cech, David Futschik, Eli Shechtman, Daniel Sýkora:
Diffusion Image Analogies. SIGGRAPH (Conference Paper Track) 2023: 79:1-79:10 - [c86]Yunhan Zhao, Connelly Barnes, Yuqian Zhou, Eli Shechtman, Sohrab Amirghodsi, Charless C. Fowlkes:
GeoFill: Reference-Based Image Inpainting with Better Geometric Understanding. WACV 2023: 1776-1786 - [i83]Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman:
Domain Expansion of Image Generators. CoRR abs/2301.05225 (2023) - [i82]Ke Wang, Michaël Gharbi, He Zhang, Zhihao Xia, Eli Shechtman:
Semi-supervised Parametric Real-world Image Harmonization. CoRR abs/2303.00157 (2023) - [i81]Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park:
Scaling up GANs for Text-to-Image Synthesis. CoRR abs/2303.05511 (2023) - [i80]Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu:
Ablating Concepts in Text-to-Image Diffusion Models. CoRR abs/2303.13516 (2023) - [i79]Mang Tik Chiu, Xuaner Zhang, Zijun Wei, Yuqian Zhou, Eli Shechtman, Connelly Barnes, Zhe Lin, Florian Kainz, Sohrab Amirghodsi, Humphrey Shi:
Automatic High Resolution Wire Segmentation and Removal. CoRR abs/2304.00221 (2023) - [i78]Dan Ruta, Andrew Gilbert, John P. Collomosse, Eli Shechtman, Nicholas I. Kolkin:
NeAT: Neural Artistic Tracing for Beautiful Style Transfer. CoRR abs/2304.05139 (2023) - [i77]Chuong Huynh, Yuqian Zhou, Zhe Lin, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Abhinav Shrivastava:
SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation Network. CoRR abs/2305.17624 (2023) - [i76]S. Mahdi H. Miangoleh, Zoya Bylinskii, Eric Kee, Eli Shechtman, Yagiz Aksoy:
Realistic Saliency Guided Image Enhancement. CoRR abs/2306.06092 (2023) - [i75]Dan Ruta, Gemma Canet Tarres, Andrew Gilbert, Eli Shechtman, Nicholas I. Kolkin, John P. Collomosse:
DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer. CoRR abs/2307.04157 (2023) - [i74]Lingzhi Zhang, Zhengjie Xu, Connelly Barnes, Yuqian Zhou, Qing Liu, He Zhang, Sohrab Amirghodsi, Zhe Lin, Eli Shechtman, Jianbo Shi:
Perceptual Artifacts Localization for Image Synthesis Tasks. CoRR abs/2310.05590 (2023) - [i73]Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park:
One-step Diffusion with Distribution Matching Distillation. CoRR abs/2311.18828 (2023) - [i72]Joanna Materzynska, Josef Sivic, Eli Shechtman, Antonio Torralba, Richard Zhang, Bryan C. Russell:
Customizing Motion in Text-to-Video Diffusion Models. CoRR abs/2312.04966 (2023) - 2022
- [c85]Anna Frühstück, Krishna Kumar Singh, Eli Shechtman, Niloy J. Mitra, Peter Wonka, Jingwan Lu:
InsetGAN for Full-Body Image Generation. CVPR 2022: 7713-7722 - [c84]Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu:
Ensembling Off-the-shelf Models for GAN Training. CVPR 2022: 10641-10652 - [c83]William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman:
GAN-Supervised Dense Visual Alignment. CVPR 2022: 13460-13471 - [c82]Roy Or-El, Xuan Luo, Mengyi Shan, Eli Shechtman, Jeong Joon Park, Ira Kemelmacher-Shlizerman:
StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation. CVPR 2022: 13493-13503 - [c81]ShahRukh Athar, Zexiang Xu, Kalyan Sunkavalli, Eli Shechtman, Zhixin Shu:
RigNeRF: Fully Controllable Neural 3D Portraits. CVPR 2022: 20332-20341 - [c80]Lingzhi Zhang, Connelly Barnes, Kevin Wampler, Sohrab Amirghodsi, Eli Shechtman, Zhe Lin, Jianbo Shi:
Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-curation. ECCV (17) 2022: 51-67 - [c79]Lingzhi Zhang, Yuqian Zhou, Connelly Barnes, Sohrab Amirghodsi, Zhe Lin, Eli Shechtman, Jianbo Shi:
Perceptual Artifacts Localization for Inpainting. ECCV (29) 2022: 146-164 - [c78]Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang:
Any-Resolution Training for High-Resolution Image Synthesis. ECCV (16) 2022: 170-188 - [c77]Adéla Subrtová, David Futschik, Jan Cech, Michal Lukác, Eli Shechtman, Daniel Sýkora:
ChunkyGAN: Real Image Inversion via Segments. ECCV (23) 2022: 189-204 - [c76]Yuval Alaluf, Or Patashnik, Zongze Wu, Asif Zamir, Eli Shechtman, Dani Lischinski, Daniel Cohen-Or:
Third Time's the Charm? Image and Video Editing with StyleGAN3. ECCV Workshops (2) 2022: 204-220 - [c75]Yichen Sheng, Yifan Liu, Jianming Zhang, Wei Yin, A. Cengiz Öztireli, He Zhang, Zhe Lin, Eli Shechtman, Bedrich Benes:
Controllable Shadow Generation Using Pixel Height Maps. ECCV (23) 2022: 240-256 - [c74]Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Eli Shechtman, Connelly Barnes, Jianming Zhang, Ning Xu, Sohrab Amirghodsi, Jiebo Luo:
Image Inpainting with Cascaded Modulation GAN and Object-Aware Training. ECCV (16) 2022: 277-296 - [c73]Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh:
Contrastive Learning for Diverse Disentangled Foreground Generation. ECCV (16) 2022: 334-351 - [c72]Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros:
BlobGAN: Spatially Disentangled Scene Representations. ECCV (15) 2022: 616-635 - [c71]Kai Zhang, Nicholas I. Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely:
ARF: Artistic Radiance Fields. ECCV (31) 2022: 717-733 - [c70]Zongze Wu, Yotam Nitzan, Eli Shechtman, Dani Lischinski:
StyleAlign: Analysis and Applications of Aligned StyleGAN Models. ICLR 2022 - [c69]Tobias Hinz, Matthew Fisher, Oliver Wang, Eli Shechtman, Stefan Wermter:
CharacterGAN: Few-Shot Keypoint Character Animation and Reposing. WACV 2022: 3183-3192 - [i71]Yunhan Zhao, Connelly Barnes, Yuqian Zhou, Eli Shechtman, Sohrab Amirghodsi, Charless C. Fowlkes:
GeoFill: Reference-Based Image Inpainting of Scenes with Complex Geometry. CoRR abs/2201.08131 (2022) - [i70]Yuval Alaluf, Or Patashnik, Zongze Wu, Asif Zamir, Eli Shechtman, Dani Lischinski, Daniel Cohen-Or:
Third Time's the Charm? Image and Video Editing with StyleGAN3. CoRR abs/2201.13433 (2022) - [i69]Anna Frühstück, Krishna Kumar Singh, Eli Shechtman, Niloy J. Mitra, Peter Wonka, Jingwan Lu:
InsetGAN for Full-Body Image Generation. CoRR abs/2203.07293 (2022) - [i68]Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Eli Shechtman, Connelly Barnes, Jianming Zhang, Ning Xu, Sohrab Amirghodsi, Jiebo Luo:
CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training. CoRR abs/2203.11947 (2022) - [i67]Nicholas I. Kolkin, Michal Kucera, Sylvain Paris, Daniel Sýkora, Eli Shechtman, Greg Shakhnarovich:
Neural Neighbor Style Transfer. CoRR abs/2203.13215 (2022) - [i66]Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang:
Any-resolution Training for High-resolution Image Synthesis. CoRR abs/2204.07156 (2022) - [i65]Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros:
BlobGAN: Spatially Disentangled Scene Representations. CoRR abs/2205.02837 (2022) - [i64]Kai Zhang, Nicholas I. Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely:
ARF: Artistic Radiance Fields. CoRR abs/2206.06360 (2022) - [i63]ShahRukh Athar, Zexiang Xu, Kalyan Sunkavalli, Eli Shechtman, Zhixin Shu:
RigNeRF: Fully Controllable Neural 3D Portraits. CoRR abs/2206.06481 (2022) - [i62]Yichen Sheng, Yifan Liu, Jianming Zhang, Wei Yin, A. Cengiz Öztireli, He Zhang, Zhe Lin, Eli Shechtman, Bedrich Benes:
Controllable Shadow Generation Using Pixel Height Maps. CoRR abs/2207.05385 (2022) - [i61]Lingzhi Zhang, Yuqian Zhou, Connelly Barnes, Sohrab Amirghodsi, Zhe Lin, Eli Shechtman, Jianbo Shi:
Perceptual Artifacts Localization for Inpainting. CoRR abs/2208.03357 (2022) - [i60]Lingzhi Zhang, Connelly Barnes, Kevin Wampler, Sohrab Amirghodsi, Eli Shechtman, Zhe Lin, Jianbo Shi:
Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-Curation. CoRR abs/2208.03552 (2022) - [i59]Xiaodan Du, Raymond A. Yeh, Nicholas I. Kolkin, Eli Shechtman, Greg Shakhnarovich:
Text-Free Learning of a Natural Language Interface for Pretrained Face Generators. CoRR abs/2209.03953 (2022) - [i58]Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh:
Contrastive Learning for Diverse Disentangled Foreground Generation. CoRR abs/2211.02707 (2022) - [i57]Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu:
Multi-Concept Customization of Text-to-Image Diffusion. CoRR abs/2212.04488 (2022) - [i56]Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Eli Shechtman, Connelly Barnes, Jianming Zhang, Qing Liu, Yuqian Zhou, Sohrab Amirghodsi, Jiebo Luo:
Structure-Guided Image Completion with Image-level and Object-level Semantic Discriminators. CoRR abs/2212.06310 (2022) - 2021
- [j44]David Futschik, Michal Kucera, Michal Lukác, Zhaowen Wang, Eli Shechtman, Daniel Sýkora:
STALP: Style Transfer with Auxiliary Limited Pairing. Comput. Graph. Forum 40(2): 563-573 (2021) - [j43]Badour AlBahar, Jingwan Lu, Jimei Yang, Zhixin Shu, Eli Shechtman, Jia-Bin Huang:
Pose with style: detail-preserving pose-guided image synthesis with conditional StyleGAN. ACM Trans. Graph. 40(6): 218:1-218:11 (2021) - [c68]Yuqian Zhou, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi:
TransFill: Reference-Guided Image Inpainting by Merging Multiple Color and Spatial Transformations. CVPR 2021: 2266-2276 - [c67]Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang:
Few-Shot Image Generation via Cross-Domain Correspondence. CVPR 2021: 10743-10752 - [c66]Zongze Wu, Dani Lischinski, Eli Shechtman:
StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation. CVPR 2021: 12863-12872 - [c65]Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli:
Spatially-Adaptive Pixelwise Networks for Fast Image Translation. CVPR 2021: 14882-14891 - [c64]Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang:
Ensembling With Deep Generative Views. CVPR 2021: 14997-15007 - [c63]Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, Dani Lischinski:
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery. ICCV 2021: 2065-2074 - [c62]Ishit Mehta, Michaël Gharbi, Connelly Barnes, Eli Shechtman, Ravi Ramamoorthi, Manmohan Chandraker:
Modulated Periodic Activations for Generalizable Local Functional Representations. ICCV 2021: 14194-14203 - [c61]Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh:
Collaging Class-specific GANs for Semantic Image Synthesis. ICCV 2021: 14398-14407 - [c60]Zongze Wu, Dani Lischinski, Eli Shechtman:
Fine-grained Foreground Retrieval via Teacher-Student Learning. WACV 2021: 3645-3653 - [i55]Tobias Hinz, Matthew Fisher, Oliver Wang, Eli Shechtman, Stefan Wermter:
CharacterGAN: Few-Shot Keypoint Character Animation and Reposing. CoRR abs/2102.03141 (2021) - [i54]Yuqian Zhou, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi:
TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations. CoRR abs/2103.15982 (2021) - [i53]Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, Dani Lischinski:
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery. CoRR abs/2103.17249 (2021) - [i52]Ishit Mehta, Michaël Gharbi, Connelly Barnes, Eli Shechtman, Ravi Ramamoorthi, Manmohan Chandraker:
Modulated Periodic Activations for Generalizable Local Functional Representations. CoRR abs/2104.03960 (2021) - [i51]Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang:
Few-shot Image Generation via Cross-domain Correspondence. CoRR abs/2104.06820 (2021) - [i50]Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang:
Ensembling with Deep Generative Views. CoRR abs/2104.14551 (2021) - [i49]Badour AlBahar, Jingwan Lu, Jimei Yang, Zhixin Shu, Eli Shechtman, Jia-Bin Huang:
Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN. CoRR abs/2109.06166 (2021) - [i48]Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh:
Collaging Class-specific GANs for Semantic Image Synthesis. CoRR abs/2110.04281 (2021) - [i47]David Futschik, Michal Lukác, Eli Shechtman, Daniel Sýkora:
Real Image Inversion via Segments. CoRR abs/2110.06269 (2021) - [i46]David Futschik, Michal Kucera, Michal Lukác, Zhaowen Wang, Eli Shechtman, Daniel Sýkora:
STALP: Style Transfer with Auxiliary Limited Pairing. CoRR abs/2110.10501 (2021) - [i45]Zongze Wu, Yotam Nitzan, Eli Shechtman, Dani Lischinski:
StyleAlign: Analysis and Applications of Aligned StyleGAN Models. CoRR abs/2110.11323 (2021) - [i44]William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman:
GAN-Supervised Dense Visual Alignment. CoRR abs/2112.05143 (2021) - [i43]Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu:
Ensembling Off-the-shelf Models for GAN Training. CoRR abs/2112.09130 (2021) - [i42]Roy Or-El, Xuan Luo, Mengyi Shan, Eli Shechtman, Jeong Joon Park, Ira Kemelmacher-Shlizerman:
StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation. CoRR abs/2112.11427 (2021) - 2020
- [j42]Ondrej Texler, David Futschik, Jakub Fiser, Michal Lukác, Jingwan Lu, Eli Shechtman, Daniel Sýkora:
Arbitrary style transfer using neurally-guided patch-based synthesis. Comput. Graph. 87: 62-71 (2020) - [j41]Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason M. Saragih, Matthias Nießner, Rohit Pandey, Sean Ryan Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B. Goldman, Michael Zollhöfer:
State of the Art on Neural Rendering. Comput. Graph. Forum 39(2): 701-727 (2020) - [j40]Noa Fish, Richard Zhang, Lilach Perry, Daniel Cohen-Or, Eli Shechtman, Connelly Barnes:
Image Morphing With Perceptual Constraints and STN Alignment. Comput. Graph. Forum 39(6): 303-313 (2020) - [j39]Jun-Yan Zhu, Hongsheng Li, Eli Shechtman, Ming-Yu Liu, Jan Kautz, Antonio Torralba:
Guest Editorial: Generative Adversarial Networks for Computer Vision. Int. J. Comput. Vis. 128(10): 2363-2365 (2020) - [j38]Yang Zhou, Xintong Han, Eli Shechtman, Jose Echevarria, Evangelos Kalogerakis, Dingzeyu Li:
MakeltTalk: speaker-aware talking-head animation. ACM Trans. Graph. 39(6): 221:1-221:15 (2020) - [c59]Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu:
High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling. ECCV (19) 2020: 1-17 - [c58]Youssef A. Mejjati, Celso F. Gomez, Kwang In Kim, Eli Shechtman, Zoya Bylinskii:
Look Here! A Parametric Learning Based Approach to Redirect Visual Attention. ECCV (23) 2020: 343-361 - [c57]Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Chajin Shin, Taeoh Kim, Hanbin Son, Sangyoun Lee, Chao Li, Fu Li, Dongliang He, Shilei Wen, Errui Ding, Mengmeng Bai, Shuchen Li, Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu, Weijian Zeng, Haopeng Ni, Yiyang Cai, Chenghua Li, Dejia Xu, Haoning Wu, Yu Han, S. M. Nadim Uddin, Hae Woong Jang, Soikat Hasan Ahmed, Jungmin Yoon, Yong Ju Jung, Chu-Tak Li, Zhi-Song Liu, Li-Wen Wang, Wan-Chi Siu, Daniel Pak-Kong Lun, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Pratik Narang, Murari Mandal, Pranjal Singh Chauhan:
AIM 2020 Challenge on Image Extreme Inpainting. ECCV Workshops (3) 2020: 716-741 - [c56]Roy Or-El, Soumyadip Sengupta, Ohad Fried, Eli Shechtman, Ira Kemelmacher-Shlizerman:
Lifespan Age Transformation Synthesis. ECCV (6) 2020: 739-755 - [c55]Zhixin Shu, Duygu Ceylan, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Dimitris Samaras:
Learning Monocular Face Reconstruction using Multi-View Supervision. FG 2020: 241-248 - [c54]Yijun Li, Richard Zhang, Jingwan Lu, Eli Shechtman:
Few-shot Image Generation with Elastic Weight Consolidation. NeurIPS 2020 - [c53]Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang:
Swapping Autoencoder for Deep Image Manipulation. NeurIPS 2020 - [c52]Omid Poursaeed, Vladimir G. Kim, Eli Shechtman, Jun Saito, Serge J. Belongie:
Neural Puppet: Generative Layered Cartoon Characters. WACV 2020: 3335-3345 - [i41]Roy Or-El, Soumyadip Sengupta, Ohad Fried, Eli Shechtman, Ira Kemelmacher-Shlizerman:
Lifespan Age Transformation Synthesis. CoRR abs/2003.09764 (2020) - [i40]Sai Bi, Kalyan Sunkavalli, Federico Perazzi, Eli Shechtman, Vladimir G. Kim, Ravi Ramamoorthi:
Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement. CoRR abs/2003.12649 (2020) - [i39]Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason M. Saragih, Matthias Nießner, Rohit Pandey, Sean Ryan Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B. Goldman, Michael Zollhöfer:
State of the Art on Neural Rendering. CoRR abs/2004.03805 (2020) - [i38]Yang Zhou, Dingzeyu Li, Xintong Han, Evangelos Kalogerakis, Eli Shechtman, Jose Echevarria:
MakeItTalk: Speaker-Aware Talking Head Animation. CoRR abs/2004.12992 (2020) - [i37]