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ORCIDDaniel Cohen-Or
Danny Cohen-Or
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- affiliation: Tel Aviv University, Israel
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2020 – today
- 2023
[j255]Amir Hertz
, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or:
Mesh Draping: Parametrization-Free Neural Mesh Transfer. Comput. Graph. Forum 42(1): 72-85 (2023)- [j254]Daniel Roich, Ron Mokady, Amit H. Bermano, Daniel Cohen-Or:
Pivotal Tuning for Latent-based Editing of Real Images. ACM Trans. Graph. 42(1): 6:1-6:13 (2023) - [j253]Hila Chefer, Yuval Alaluf, Yael Vinker, Lior Wolf, Daniel Cohen-Or:
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models. ACM Trans. Graph. 42(4): 148:1-148:10 (2023) - [j252]Rinon Gal, Moab Arar, Yuval Atzmon, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or:
Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models. ACM Trans. Graph. 42(4): 150:1-150:13 (2023) - [j251]Shir Iluz, Yael Vinker, Amir Hertz, Daniel Berio, Daniel Cohen-Or, Ariel Shamir:
Word-As-Image for Semantic Typography. ACM Trans. Graph. 42(4): 151:1-151:11 (2023) - [j250]Andreas Aristidou, Anastasios Yiannakidis, Kfir Aberman, Daniel Cohen-Or, Ariel Shamir, Yiorgos Chrysanthou:
Rhythm is a Dancer: Music-Driven Motion Synthesis With Global Structure. IEEE Trans. Vis. Comput. Graph. 29(8): 3519-3534 (2023) - [c124]Ron Mokady, Amir Hertz, Kfir Aberman, Yael Pritch, Daniel Cohen-Or:
Null-text Inversion for Editing Real Images using Guided Diffusion Models. CVPR 2023: 6038-6047 - [c123]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 - [c122]Sigal Raab, Inbal Leibovitch, Peizhuo Li, Kfir Aberman, Olga Sorkine-Hornung, Daniel Cohen-Or:
MoDi: Unconditional Motion Synthesis from Diverse Data. CVPR 2023: 13873-13883 - [c121]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 - [c120]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 - [c119]Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, Daniel Cohen-Or:
Prompt-to-Prompt Image Editing with Cross-Attention Control. ICLR 2023 - [c118]Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Daniel Cohen-Or, Amit Haim Bermano:
Human Motion Diffusion Model. ICLR 2023 - [c117]Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or:
TEXTure: Text-Guided Texturing of 3D Shapes. SIGGRAPH (Conference Paper Track) 2023: 54:1-54:11 - [c116]Andrey Voynov, Kfir Aberman, Daniel Cohen-Or:
Sketch-Guided Text-to-Image Diffusion Models. SIGGRAPH (Conference Paper Track) 2023: 55:1-55:11 - [i132]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) - [i131]Hila Chefer, Yuval Alaluf, Yael Vinker, Lior Wolf, Daniel Cohen-Or:
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models. CoRR abs/2301.13826 (2023) - [i130]Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or:
TEXTure: Text-Guided Texturing of 3D Shapes. CoRR abs/2302.01721 (2023) - [i129]Sigal Raab, Inbal Leibovitch, Guy Tevet, Moab Arar, Amit H. Bermano, Daniel Cohen-Or:
Single Motion Diffusion. CoRR abs/2302.05905 (2023) - [i128]Roy Hachnochi, Mingrui Zhao, Nadav Orzech, Rinon Gal, Ali Mahdavi-Amiri, Daniel Cohen-Or, Amit Haim Bermano:
Cross-domain Compositing with Pretrained Diffusion Models. CoRR abs/2302.10167 (2023) - [i127]Rinon Gal, Moab Arar, Yuval Atzmon, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or:
Designing an Encoder for Fast Personalization of Text-to-Image Models. CoRR abs/2302.12228 (2023) - [i126]Shir Iluz, Yael Vinker, Amir Hertz, Daniel Berio, Daniel Cohen-Or, Ariel Shamir:
Word-As-Image for Semantic Typography. CoRR abs/2303.01818 (2023) - [i125]Andrey Voynov, Qinghao Chu, Daniel Cohen-Or, Kfir Aberman:
P+: Extended Textual Conditioning in Text-to-Image Generation. CoRR abs/2303.09522 (2023) - [i124]Aryan Mikaeili, Or Perel, Daniel Cohen-Or, Ali Mahdavi-Amiri:
SKED: Sketch-guided Text-based 3D Editing. CoRR abs/2303.10735 (2023) - [i123]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) - [i122]Dana Cohen-Bar, Elad Richardson, Gal Metzer, Raja Giryes, Daniel Cohen-Or:
Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes. CoRR abs/2303.13450 (2023) - [i121]Amir Hertz, Kfir Aberman, Daniel Cohen-Or:
Delta Denoising Score. CoRR abs/2304.07090 (2023) - [i120]Yuval Alaluf, Elad Richardson, Gal Metzer, Daniel Cohen-Or:
A Neural Space-Time Representation for Text-to-Image Personalization. CoRR abs/2305.15391 (2023) - [i119]Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, Dani Lischinski:
Break-A-Scene: Extracting Multiple Concepts from a Single Image. CoRR abs/2305.16311 (2023) - [i118]Yael Vinker, Andrey Voynov, Daniel Cohen-Or, Ariel Shamir:
Concept Decomposition for Visual Exploration and Inspiration. CoRR abs/2305.18203 (2023) - [i117]Alexandre Binninger, Amir Hertz, Olga Sorkine-Hornung, Daniel Cohen-Or, Raja Giryes:
SENS: Sketch-based Implicit Neural Shape Modeling. CoRR abs/2306.06088 (2023) - [i116]Naama Pearl, Yaron Brodsky, Dana Berman, Assaf Zomet, Alex Rav-Acha, Daniel Cohen-Or, Dani Lischinski:
SVNR: Spatially-variant Noise Removal with Denoising Diffusion. CoRR abs/2306.16052 (2023) - [i115]Ariel Elazary, Yotam Nitzan, Daniel Cohen-Or:
Facial Reenactment Through a Personalized Generator. CoRR abs/2307.06307 (2023) - [i114]Moab Arar, Rinon Gal, Yuval Atzmon, Gal Chechik, Daniel Cohen-Or, Ariel Shamir, Amit H. Bermano:
Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models. CoRR abs/2307.06925 (2023) - [i113]Jingyuan Yang, Qirui Huang, Tingting Ding, Dani Lischinski, Daniel Cohen-Or, Hui Huang:
EmoSet: A Large-scale Visual Emotion Dataset with Rich Attributes. CoRR abs/2307.07961 (2023) - [i112]Elad Richardson, Kfir Goldberg, Yuval Alaluf, Daniel Cohen-Or:
ConceptLab: Creative Generation using Diffusion Prior Constraints. CoRR abs/2308.02669 (2023) - [i111]Roy Kapon, Guy Tevet, Daniel Cohen-Or, Amit H. Bermano:
MAS: Multi-view Ancestral Sampling for 3D motion generation using 2D diffusion. CoRR abs/2310.14729 (2023) - [i110]Oren Katzir, Or Patashnik, Daniel Cohen-Or, Dani Lischinski:
Noise-Free Score Distillation. CoRR abs/2310.17590 (2023) - [i109]Zhengzhe Liu, Jingyu Hu, Ka-Hei Hui, Xiaojuan Qi, Daniel Cohen-Or, Chi-Wing Fu:
EXIM: A Hybrid Explicit-Implicit Representation for Text-Guided 3D Shape Generation. CoRR abs/2311.01714 (2023) - [i108]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) - [i107]Omri Avrahami, Amir Hertz, Yael Vinker, Moab Arar, Shlomi Fruchter, Ohad Fried, Daniel Cohen-Or, Dani Lischinski:
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models. CoRR abs/2311.10093 (2023) - [i106]Ben Nassi, Etay Iluz, Danny Cohen-Or, Ofek Vayner, Dudi Nassi, Boris Zadov, Yuval Elovici:
Video-Based Cryptanalysis: Extracting Cryptographic Keys from Video Footage of a Device's Power LED. IACR Cryptol. ePrint Arch. 2023: 923 (2023) - 2022
- [j249]Rana Hanocka, Jackie Assa, Daniel Cohen-Or, Raja Giryes:
Learning Camera Control in Dynamic Scenes from Limited Demonstrations. Comput. Graph. Forum 41(1): 427-437 (2022) - [j248]Xuelin Chen, Weiyu Li, Daniel Cohen-Or, Niloy J. Mitra, Baoquan Chen:
MoCo-Flow: Neural Motion Consensus Flow for Dynamic Humans in Stationary Monocular Cameras. Comput. Graph. Forum 41(2): 147-161 (2022) - [j247]Gal Metzer, Rana Hanocka, Raja Giryes, Niloy J. Mitra, Daniel Cohen-Or:
Z2P: Instant Visualization of Point Clouds. Comput. Graph. Forum 41(2): 461-471 (2022) - [j246]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) - [j245]Ron Mokady, Rotem Tzaban, Sagie Benaim, Amit H. Bermano, Daniel Cohen-Or:
JOKR: Joint Keypoint Representation for Unsupervised Video Retargeting. Comput. Graph. Forum 41(6): 245-257 (2022) - [j244]Jinming Cao, Yangyan Li, Mingchao Sun, Ying Chen, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen, Changhe Tu:
DO-Conv: Depthwise Over-Parameterized Convolutional Layer. IEEE Trans. Image Process. 31: 3726-3736 (2022) - [j243]Yael Vinker, Ehsan Pajouheshgar, Jessica Y. Bo, Roman Christian Bachmann, Amit Haim Bermano, Daniel Cohen-Or, Amir Zamir, Ariel Shamir:
CLIPasso: semantically-aware object sketching. ACM Trans. Graph. 41(4): 86:1-86:11 (2022) - [j242]Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or:
SPAGHETTI: editing implicit shapes through part aware generation. ACM Trans. Graph. 41(4): 106:1-106:20 (2022) - [j241]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) - [j240]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) - [j239]Yotam Nitzan, Kfir Aberman, Qiurui He, Orly Liba, Michal Yarom, Yossi Gandelsman, Inbar Mosseri, Yael Pritch, Daniel Cohen-Or:
MyStyle: A Personalized Generative Prior. ACM Trans. Graph. 41(6): 206:1-206:10 (2022) - [j238]Min Lu, Noa Fish, Shuaiqi Wang, Joel Lanir, Daniel Cohen-Or, Hui Huang:
Enhancing Static Charts With Data-Driven Animations. IEEE Trans. Vis. Comput. Graph. 28(7): 2628-2640 (2022) - [j237]Zihao Yan, Zimu Yi, Ruizhen Hu, Niloy J. Mitra, Daniel Cohen-Or, Hui Huang:
Consistent Two-Flow Network for Tele-Registration of Point Clouds. IEEE Trans. Vis. Comput. Graph. 28(12): 4304-4318 (2022) - [j236]Xianzhi Li, Ruihui Li, Guangyong Chen, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
A Rotation-Invariant Framework for Deep Point Cloud Analysis. IEEE Trans. Vis. Comput. Graph. 28(12): 4503-4514 (2022) - [c115]Xingguang Yan, Liqiang Lin, Niloy J. Mitra, Dani Lischinski, Daniel Cohen-Or, Hui Huang:
ShapeFormer: Transformer-based Shape Completion via Sparse Representation. CVPR 2022: 6229-6239 - [c114]Yotam Nitzan, Rinon Gal, Ofir Brenner, Daniel Cohen-Or:
LARGE: Latent-Based Regression through GAN Semantics. CVPR 2022: 19217-19227 - [c113]Brian Gordon, Sigal Raab, Guy Azov, Raja Giryes, Daniel Cohen-Or:
FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion Reconstruction. ECCV (33) 2022: 176-196 - [c112]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 - [c111]Guy Tevet, Brian Gordon, Amir Hertz, Amit H. Bermano, Daniel Cohen-Or:
MotionCLIP: Exposing Human Motion Generation to CLIP Space. ECCV (22) 2022: 358-374 - [c110]Oren Katzir, Dani Lischinski, Daniel Cohen-Or:
Shape-Pose Disentanglement Using SE(3)-Equivariant Vector Neurons. ECCV (3) 2022: 468-484 - [c109]Meitar Shechter, Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or:
NeuralMLS: Geometry-Aware Control Point Deformation. Eurographics (Short Papers) 2022: 65-68 - [c108]Yunzhe Liu, Rinon Gal, Amit H. Bermano, Baoquan Chen, Daniel Cohen-Or:
Self-Conditioned GANs for Image Editing. SIGGRAPH (Conference Paper Track) 2022: 16:1-16:9 - [c107]Ron Mokady, Omer Tov, Michal Yarom, Oran Lang, Inbar Mosseri, Tali Dekel, Daniel Cohen-Or, Michal Irani:
Self-Distilled StyleGAN: Towards Generation from Internet Photos. SIGGRAPH (Conference Paper Track) 2022: 50:1-50:9 - [c106]Yotam Nitzan, Kfir Aberman, Orly Liba, Qiurui He, Michal Yarom, Yossi Gandelsman, Inbar Mosseri, Yael Pritch, Daniel Cohen-Or:
Learning A Personalized Generative Prior For Face Images. SIGGRAPH Posters 2022: 53:1-53:2 - [c105]Rotem Tzaban, Ron Mokady, Rinon Gal, Amit Bermano, Daniel Cohen-Or:
Stitch it in Time: GAN-Based Facial Editing of Real Videos. SIGGRAPH Asia 2022: 29:1-29:9 - [i105]Meitar Shechter, Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or:
DeepMLS: Geometry-Aware Control Point Deformation. CoRR abs/2201.01873 (2022) - [i104]Rotem Tzaban, Ron Mokady, Rinon Gal, Amit H. Bermano, Daniel Cohen-Or:
Stitch it in Time: GAN-Based Facial Editing of Real Videos. CoRR abs/2201.08361 (2022) - [i103]Xingguang Yan, Liqiang Lin, Niloy J. Mitra, Dani Lischinski, Danny Cohen-Or, Hui Huang:
ShapeFormer: Transformer-based Shape Completion via Sparse Representation. CoRR abs/2201.10326 (2022) - [i102]Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or:
SPAGHETTI: Editing Implicit Shapes Through Part Aware Generation. CoRR abs/2201.13168 (2022) - [i101]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) - [i100]Xianxu Hou, Linlin Shen, Or Patashnik, Daniel Cohen-Or, Hui Huang:
FEAT: Face Editing with Attention. CoRR abs/2202.02713 (2022) - [i99]Yunzhe Liu, Rinon Gal, Amit H. Bermano, Baoquan Chen, Daniel Cohen-Or:
Self-Conditioned Generative Adversarial Networks for Image Editing. CoRR abs/2202.04040 (2022) - [i98]Yael Vinker, Ehsan Pajouheshgar, Jessica Y. Bo, Roman Christian Bachmann, Amit Haim Bermano, Daniel Cohen-Or, Amir Zamir, Ariel Shamir:
CLIPasso: Semantically-Aware Object Sketching. CoRR abs/2202.05822 (2022) - [i97]Oren Katzir, Vicky Perepelook, Dani Lischinski, Daniel Cohen-Or:
Multi-level Latent Space Structuring for Generative Control. CoRR abs/2202.05910 (2022) - [i96]Ron Mokady, Michal Yarom, Omer Tov, Oran Lang, Daniel Cohen-Or, Tali Dekel, Michal Irani, Inbar Mosseri:
Self-Distilled StyleGAN: Towards Generation from Internet Photos. CoRR abs/2202.12211 (2022) - [i95]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) - [i94]Guy Tevet, Brian Gordon, Amir Hertz, Amit H. Bermano, Daniel Cohen-Or:
MotionCLIP: Exposing Human Motion Generation to CLIP Space. CoRR abs/2203.08063 (2022) - [i93]Yotam Nitzan, Kfir Aberman, Qiurui He, Orly Liba, Michal Yarom, Yossi Gandelsman, Inbar Mosseri, Yael Pritch, Daniel Cohen-Or:
MyStyle: A Personalized Generative Prior. CoRR abs/2203.17272 (2022) - [i92]Oren Katzir, Dani Lischinski, Daniel Cohen-Or:
Shape-Pose Disentanglement using SE(3)-equivariant Vector Neurons. CoRR abs/2204.01159 (2022) - [i91]Sigal Raab, Inbal Leibovitch, Peizhuo Li, Kfir Aberman, Olga Sorkine-Hornung, Daniel Cohen-Or:
MoDi: Unconditional Motion Synthesis from Diverse Data. CoRR abs/2206.08010 (2022) - [i90]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) - [i89]Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, Daniel Cohen-Or:
Prompt-to-Prompt Image Editing with Cross Attention Control. CoRR abs/2208.01626 (2022) - [i88]Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Daniel Cohen-Or, Amit H. Bermano:
Human Motion Diffusion Model. CoRR abs/2209.14916 (2022) - [i87]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) - [i86]Ron Mokady, Amir Hertz, Kfir Aberman, Yael Pritch, Daniel Cohen-Or:
Null-text Inversion for Editing Real Images using Guided Diffusion Models. CoRR abs/2211.09794 (2022) - [i85]Andrey Voynov, Kfir Aberman, Daniel Cohen-Or:
Sketch-Guided Text-to-Image Diffusion Models. CoRR abs/2211.13752 (2022) - [i84]Yael Vinker, Yuval Alaluf, Daniel Cohen-Or, Ariel Shamir:
CLIPascene: Scene Sketching with Different Types and Levels of Abstraction. CoRR abs/2211.17256 (2022) - 2021
- [j235]Xuelin Chen, Daniel Cohen-Or, Baoquan Chen, Niloy J. Mitra:
Towards a Neural Graphics Pipeline for Controllable Image Generation. Comput. Graph. Forum 40(2): 127-140 (2021) - [j234]Liqiang Lin, Pengdi Huang, Fuyou Xue, Kai Xu, Daniel Cohen-Or, Hui Huang:
Hausdorff point convolution with geometric priors. Sci. China Inf. Sci. 64(11) (2021) - [j233]Qian Zheng, Yajie Liu, Zhizhao Lin, Dani Lischinski, Daniel Cohen-Or, Hui Huang:
Weakly supervised 2D human pose transfer. Sci. China Inf. Sci. 64(11) (2021) - [j232]Qian Zheng, Weikai Wu, Hanting Pan, Niloy J. Mitra, Daniel Cohen-Or, Hui Huang:
Inferring object properties from human interaction and transferring them to new motions. Comput. Vis. Media 7(3): 375-392 (2021) - [j231]Dov Danon, Moab Arar, Daniel Cohen-Or, Ariel Shamir:
Image resizing by reconstruction from deep features. Comput. Vis. Media 7(4): 453-466 (2021) - [j230]Jinming Cao, Hanchao Leng, Daniel Cohen-Or, Dani Lischinski, Ying Chen, Changhe Tu, Yangyan Li:
RGB×D: Learning depth-weighted RGB patches for RGB-D indoor semantic segmentation. Neurocomputing 462: 568-580 (2021) - [j229]Mingyi Shi, Kfir Aberman, Andreas Aristidou, Taku Komura, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen:
MotioNet: 3D Human Motion Reconstruction from Monocular Video with Skeleton Consistency. ACM Trans. Graph. 40(1): 1:1-1:15 (2021) - [j228]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) - [j227]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) - [j226]Rinon Gal, Dana Cohen Hochberg, Amit Bermano, Daniel Cohen-Or:
SWAGAN: a style-based wavelet-driven generative model. ACM Trans. Graph. 40(4): 134:1-134:11 (2021) - [j225]Gal Metzer, Rana Hanocka, Denis Zorin, Raja Giryes, Daniele Panozzo, Daniel Cohen-Or:
Orienting point clouds with dipole propagation. ACM Trans. Graph. 40(4): 165:1-165:14 (2021) - [j224]Gal Metzer, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Self-Sampling for Neural Point Cloud Consolidation. ACM Trans. Graph. 40(5): 191:1-191:14 (2021) - [c104]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 - [c103]Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or:
BalaGAN: Cross-Modal Image Translation Between Imbalanced Domains. CVPR Workshops 2021: 2659-2667 - [c102]Guy Shacht, Dov Danon, Sharon Fogel, Daniel Cohen-Or:
Single Pair Cross-Modality Super Resolution. CVPR 2021: 6378-6387 - [c101]Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, Dani Lischinski:
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery. ICCV 2021: 2065-2074 - [c100]Yuval Alaluf, Or Patashnik, Daniel Cohen-Or:
ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement. ICCV 2021: 6691-6700 - [c99]Jinming Cao, Hanchao Leng, Dani Lischinski, Danny Cohen-Or, Changhe Tu, Yangyan Li:
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation. ICCV 2021: 7068-7077 - [c98]Rinon Gal, Amit Bermano, Hao Zhang, Daniel Cohen-Or:
MRGAN: Multi-Rooted 3D Shape Representation Learning with Unsupervised Part Disentanglement. ICCVW 2021: 2039-2048 - [c97]Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or:
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization. NeurIPS 2021: 8820-8832 - [i83]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) - [i82]Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, Daniel Cohen-Or:
Designing an Encoder for StyleGAN Image Manipulation. CoRR abs/2102.02766 (2021) - [i81]