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2020 – today
- 2024
- [j7]Hao Ma, Ming Li, Jingyuan Yang, Or Patashnik, Dani Lischinski, Daniel Cohen-Or, Hui Huang:
CLIP-Flow: Decoding images encoded in CLIP space. Comput. Vis. Media 10(6): 1157-1168 (2024) - [c16]Mehdi Safaee, Aryan Mikaeili, Or Patashnik, Daniel Cohen-Or, Ali Mahdavi-Amiri:
CLiC: Concept Learning in Context. CVPR 2024: 6924-6933 - [c15]Rinon Gal, Or Lichter, Elad Richardson, Or Patashnik, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or:
LCM-Lookahead for Encoder-Based Text-to-Image Personalization. ECCV (14) 2024: 322-340 - [c14]Daniel Garibi, Or Patashnik, Andrey Voynov, Hadar Averbuch-Elor, Daniel Cohen-Or:
ReNoise: Real Image Inversion Through Iterative Noising. ECCV (14) 2024: 395-413 - [c13]Omer Dahary, Or Patashnik, Kfir Aberman, Daniel Cohen-Or:
Be Yourself: Bounded Attention for Multi-subject Text-to-Image Generation. ECCV (14) 2024: 432-448 - [c12]Oren Katzir, Or Patashnik, Daniel Cohen-Or, Dani Lischinski:
Noise-free Score Distillation. ICLR 2024 - [c11]Yuval Alaluf, Daniel Garibi, Or Patashnik, Hadar Averbuch-Elor, Daniel Cohen-Or:
Cross-Image Attention for Zero-Shot Appearance Transfer. SIGGRAPH (Conference Paper Track) 2024: 132 - [c10]Or Patashnik, Rinon Gal, Daniel Cohen-Or, Jun-Yan Zhu, Fernando De la Torre:
Consolidating Attention Features for Multi-view Image Editing. SIGGRAPH Asia 2024: 40:1-40:12 - [c9]Gilad Deutch, Rinon Gal, Daniel Garibi, Or Patashnik, Daniel Cohen-Or:
TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models. SIGGRAPH Asia 2024: 41:1-41:12 - [i25]Or Patashnik, Rinon Gal, Daniel Cohen-Or, Jun-Yan Zhu, Fernando De la Torre:
Consolidating Attention Features for Multi-view Image Editing. CoRR abs/2402.14792 (2024) - [i24]Daniel Garibi, Or Patashnik, Andrey Voynov, Hadar Averbuch-Elor, Daniel Cohen-Or:
ReNoise: Real Image Inversion Through Iterative Noising. CoRR abs/2403.14602 (2024) - [i23]Omer Dahary, Or Patashnik, Kfir Aberman, Daniel Cohen-Or:
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation. CoRR abs/2403.16990 (2024) - [i22]Rinon Gal, Or Lichter, Elad Richardson, Or Patashnik, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or:
LCM-Lookahead for Encoder-based Text-to-Image Personalization. CoRR abs/2404.03620 (2024) - [i21]Gilad Deutch, Rinon Gal, Daniel Garibi, Or Patashnik, Daniel Cohen-Or:
TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models. CoRR abs/2408.00735 (2024) - [i20]Yehonathan Litman, Or Patashnik, Kangle Deng, Aviral Agrawal, Rushikesh Zawar, Fernando De la Torre, Shubham Tulsiani:
MaterialFusion: Enhancing Inverse Rendering with Material Diffusion Priors. CoRR abs/2409.15273 (2024) - [i19]Omri Avrahami, Or Patashnik, Ohad Fried, Egor Nemchinov, Kfir Aberman, Dani Lischinski, Daniel Cohen-Or:
Stable Flow: Vital Layers for Training-Free Image Editing. CoRR abs/2411.14430 (2024) - [i18]Yiftach Edelstein, Or Patashnik, Dana Cohen-Bar, Lihi Zelnik-Manor:
Sharp-It: A Multi-view to Multi-view Diffusion Model for 3D Synthesis and Manipulation. CoRR abs/2412.02631 (2024) - 2023
- [c8]Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, Daniel Cohen-Or:
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures. CVPR 2023: 12663-12673 - [c7]Or Patashnik, Daniel Garibi, Idan Azuri, Hadar Averbuch-Elor, Daniel Cohen-Or:
Localizing Object-level Shape Variations with Text-to-Image Diffusion Models. ICCV 2023: 22994-23004 - [c6]Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit Haim Bermano, Gal Chechik, Daniel Cohen-Or:
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion. ICLR 2023 - [i17]Or Patashnik, Daniel Garibi, Idan Azuri, Hadar Averbuch-Elor, Daniel Cohen-Or:
Localizing Object-level Shape Variations with Text-to-Image Diffusion Models. CoRR abs/2303.11306 (2023) - [i16]Oren Katzir, Or Patashnik, Daniel Cohen-Or, Dani Lischinski:
Noise-Free Score Distillation. CoRR abs/2310.17590 (2023) - [i15]Yuval Alaluf, Daniel Garibi, Or Patashnik, Hadar Averbuch-Elor, Daniel Cohen-Or:
Cross-Image Attention for Zero-Shot Appearance Transfer. CoRR abs/2311.03335 (2023) - [i14]Mehdi Safaee, Aryan Mikaeili, Or Patashnik, Daniel Cohen-Or, Ali Mahdavi-Amiri:
CLiC: Concept Learning in Context. CoRR abs/2311.17083 (2023) - 2022
- [j6]Amit H. Bermano, Rinon Gal, Yuval Alaluf, Ron Mokady, Yotam Nitzan, Omer Tov, Or Patashnik, Daniel Cohen-Or:
State-of-the-Art in the Architecture, Methods and Applications of StyleGAN. Comput. Graph. Forum 41(2): 591-611 (2022) - [j5]Rinon Gal, Or Patashnik, Haggai Maron, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or:
StyleGAN-NADA: CLIP-guided domain adaptation of image generators. ACM Trans. Graph. 41(4): 141:1-141:13 (2022) - [j4]Omer Kafri, Or Patashnik, Yuval Alaluf, Daniel Cohen-Or:
StyleFusion: Disentangling Spatial Segments in StyleGAN-Generated Images. ACM Trans. Graph. 41(5): 179:1-179:15 (2022) - [c5]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 - [i13]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) - [i12]Xianxu Hou, Linlin Shen, Or Patashnik, Daniel Cohen-Or, Hui Huang:
FEAT: Face Editing with Attention. CoRR abs/2202.02713 (2022) - [i11]Amit H. Bermano, Rinon Gal, Yuval Alaluf, Ron Mokady, Yotam Nitzan, Omer Tov, Or Patashnik, Daniel Cohen-Or:
State-of-the-Art in the Architecture, Methods and Applications of StyleGAN. CoRR abs/2202.14020 (2022) - [i10]Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or:
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion. CoRR abs/2208.01618 (2022) - [i9]Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, Daniel Cohen-Or:
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures. CoRR abs/2211.07600 (2022) - 2021
- [j3]Yuval Alaluf, Or Patashnik, Daniel Cohen-Or:
Only a matter of style: age transformation using a style-based regression model. ACM Trans. Graph. 40(4): 45:1-45:12 (2021) - [j2]Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, Daniel Cohen-Or:
Designing an encoder for StyleGAN image manipulation. ACM Trans. Graph. 40(4): 133:1-133:14 (2021) - [c4]Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or:
Encoding in Style: A StyleGAN Encoder for Image-to-Image Translation. CVPR 2021: 2287-2296 - [c3]Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or:
BalaGAN: Cross-Modal Image Translation Between Imbalanced Domains. CVPR Workshops 2021: 2659-2667 - [c2]Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, Dani Lischinski:
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery. ICCV 2021: 2065-2074 - [c1]Yuval Alaluf, Or Patashnik, Daniel Cohen-Or:
ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement. ICCV 2021: 6691-6700 - [i8]Yuval Alaluf, Or Patashnik, Daniel Cohen-Or:
Only a Matter of Style: Age Transformation Using a Style-Based Regression Model. CoRR abs/2102.02754 (2021) - [i7]Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, Daniel Cohen-Or:
Designing an Encoder for StyleGAN Image Manipulation. CoRR abs/2102.02766 (2021) - [i6]Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, Dani Lischinski:
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery. CoRR abs/2103.17249 (2021) - [i5]Yuval Alaluf, Or Patashnik, Daniel Cohen-Or:
ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement. CoRR abs/2104.02699 (2021) - [i4]Omer Kafri, Or Patashnik, Yuval Alaluf, Daniel Cohen-Or:
StyleFusion: A Generative Model for Disentangling Spatial Segments. CoRR abs/2107.07437 (2021) - [i3]Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, Daniel Cohen-Or:
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators. CoRR abs/2108.00946 (2021) - 2020
- [j1]Or Patashnik, Min Lu, Amit H. Bermano, Daniel Cohen-Or:
Temporal scatterplots. Comput. Vis. Media 6(4): 385-400 (2020) - [i2]Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or:
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation. CoRR abs/2008.00951 (2020) - [i1]Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or:
BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer. CoRR abs/2010.02036 (2020)
Coauthor Index
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