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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
- 2024
[j263]Alexandre Binninger
, Amir Hertz, Olga Sorkine-Hornung, Daniel Cohen-Or, Raja Giryes:
SENS: Part-Aware Sketch-based Implicit Neural Shape Modeling. Comput. Graph. Forum 43(2): i-iii (2024)- [j262]Yu Xing, Xiaoxuan Wang, Lin Lu, Andrei Sharf, Daniel Cohen-Or, Changhe Tu:
Shell stand: Stable thin shell models for 3D fabrication. Comput. Vis. Media 10(4): 643-657 (2024) - [j261]Elad Richardson, Kfir Goldberg, Yuval Alaluf, Daniel Cohen-Or:
ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Constraints. ACM Trans. Graph. 43(3): 34:1-34:14 (2024) - [j260]Yilin Liu, Jiale Chen, Shanshan Pan, Daniel Cohen-Or, Hao Zhang, Hui Huang:
Split-and-Fit: Learning B-Reps via Structure-Aware Voronoi Partitioning. ACM Trans. Graph. 43(4): 108:1-108:13 (2024) - [j259]Min Lu, Xiangfang Zeng, Joel Lanir, Xiaoqin Sun, Guozheng Li, Daniel Cohen-Or, Hui Huang:
Sticky Links: Encoding Quantitative Data of Graph Edges. IEEE Trans. Vis. Comput. Graph. 30(6): 2968-2980 (2024) - [c143]Roy Kapon, Guy Tevet, Daniel Cohen-Or, Amit H. Bermano:
MAS: Multi-view Ancestral Sampling for 3D Motion Generation Using 2D Diffusion. CVPR 2024: 1965-1974 - [c142]Yingda Yin, Yuzheng Liu, Yang Xiao, Daniel Cohen-Or, Jingwei Huang, Baoquan Chen:
SAI3D: Segment any Instance in 3D Scenes. CVPR 2024: 3292-3302 - [c141]Rinon Gal, Yael Vinker, Yuval Alaluf, Amit Bermano, Daniel Cohen-Or, Ariel Shamir, Gal Chechik:
Breathing Life Into Sketches Using Text-to-Video Priors. CVPR 2024: 4325-4336 - [c140]Amir Hertz, Andrey Voynov, Shlomi Fruchter, Daniel Cohen-Or:
Style Aligned Image Generation via Shared Attention. CVPR 2024: 4775-4785 - [c139]Mehdi Safaee, Aryan Mikaeili, Or Patashnik, Daniel Cohen-Or, Ali Mahdavi-Amiri:
CLiC: Concept Learning in Context. CVPR 2024: 6924-6933 - [c138]Yang Zhou, Rongjun Xiao, Dani Lischinski, Daniel Cohen-Or, Hui Huang:
Generating Non-Stationary Textures Using Self-Rectification. CVPR 2024: 7767-7776 - [c137]Oren Katzir, Or Patashnik, Daniel Cohen-Or, Dani Lischinski:
Noise-free Score Distillation. ICLR 2024 - [c136]Sigal Raab, Inbal Leibovitch, Guy Tevet, Moab Arar, Amit Haim Bermano, Daniel Cohen-Or:
Single Motion Diffusion. ICLR 2024 - [c135]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. SIGGRAPH (Conference Paper Track) 2024: 26 - [c134]Zhengzhe Liu, Qing Liu, Chirui Chang, Jianming Zhang, Daniil Pakhomov, Haitian Zheng, Zhe Lin, Daniel Cohen-Or, Chi-Wing Fu:
Object-level Scene Deocclusion. SIGGRAPH (Conference Paper Track) 2024: 104 - [c133]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 - [i157]Yang Zhou, Rongjun Xiao, Dani Lischinski, Daniel Cohen-Or, Hui Huang:
Generating Non-Stationary Textures using Self-Rectification. CoRR abs/2401.02847 (2024) - [i156]Moab Arar, Andrey Voynov, Amir Hertz, Omri Avrahami, Shlomi Fruchter, Yael Pritch, Daniel Cohen-Or, Ariel Shamir:
PALP: Prompt Aligned Personalization of Text-to-Image Models. CoRR abs/2401.06105 (2024) - [i155]Qirui Huang, Min Lu, Joel Lanir, Dani Lischinski, Daniel Cohen-Or, Hui Huang:
GraphiMind: LLM-centric Interface for Information Graphics Design. CoRR abs/2401.13245 (2024) - [i154]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) - [i153]Yarden Frenkel, Yael Vinker, Ariel Shamir, Daniel Cohen-Or:
Implicit Style-Content Separation using B-LoRA. CoRR abs/2403.14572 (2024) - [i152]Yuval Alaluf, Elad Richardson, Sergey Tulyakov, Kfir Aberman, Daniel Cohen-Or:
MyVLM: Personalizing VLMs for User-Specific Queries. CoRR abs/2403.14599 (2024) - [i151]Daniel Garibi, Or Patashnik, Andrey Voynov, Hadar Averbuch-Elor, Daniel Cohen-Or:
ReNoise: Real Image Inversion Through Iterative Noising. CoRR abs/2403.14602 (2024) - [i150]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) - [i149]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) - [i148]Zichen Liu, Yihao Meng, Hao Ouyang, Yue Yu, Bolin Zhao, Daniel Cohen-Or, Huamin Qu:
Dynamic Typography: Bringing Text to Life via Video Diffusion Prior. CoRR abs/2404.11614 (2024) - [i147]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) - [i146]Jingyuan Yang, Jiawei Feng, Weibin Luo, Dani Lischinski, Daniel Cohen-Or, Hui Huang:
EmoEdit: Evoking Emotions through Image Manipulation. CoRR abs/2405.12661 (2024) - [i145]Elad Richardson, Yuval Alaluf, Ali Mahdavi-Amiri, Daniel Cohen-Or:
pOps: Photo-Inspired Diffusion Operators. CoRR abs/2406.01300 (2024) - [i144]Zhenyu Wang, Daniel Cohen-Or, Min Lu:
A Versatile Collage Visualization Technique. CoRR abs/2406.04008 (2024) - [i143]Yilin Liu, Jiale Chen, Shanshan Pan, Daniel Cohen-Or, Hao Zhang, Hui Huang:
Split-and-Fit: Learning B-Reps via Structure-Aware Voronoi Partitioning. CoRR abs/2406.05261 (2024) - [i142]Zhenyu Wang, Jianxi Huang, Zhida Sun, Daniel Cohen-Or, Min Lu:
Layered Image Vectorization via Semantic Simplification. CoRR abs/2406.05404 (2024) - [i141]Sigal Raab, Inbar Gat, Nathan Sala, Guy Tevet, Rotem Shalev-Arkushin, Ohad Fried, Amit H. Bermano, Daniel Cohen-Or:
Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for Zero-shot Motion Transfer. CoRR abs/2406.06508 (2024) - [i140]Zhengzhe Liu, Qing Liu, Chirui Chang, Jianming Zhang, Daniil Pakhomov, Haitian Zheng, Zhe Lin, Daniel Cohen-Or, Chi-Wing Fu:
Object-level Scene Deocclusion. CoRR abs/2406.07706 (2024) - [i139]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) - 2023
- [j258]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) - [j257]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) - [j256]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) - [j255]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) - [j254]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) - [j253]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. ACM Trans. Graph. 42(6): 228:1-228:12 (2023) - [j252]Yael Vinker, Andrey Voynov, Daniel Cohen-Or, Ariel Shamir:
Concept Decomposition for Visual Exploration and Inspiration. ACM Trans. Graph. 42(6): 241:1-241:13 (2023) - [j251]Yuval Alaluf, Elad Richardson, Gal Metzer, Daniel Cohen-Or:
A Neural Space-Time Representation for Text-to-Image Personalization. ACM Trans. Graph. 42(6): 243:1-243:10 (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) - [c132]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 - [c131]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 - [c130]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 - [c129]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 - [c128]Amir Hertz, Kfir Aberman, Daniel Cohen-Or:
Delta Denoising Score. ICCV 2023: 2328-2337 - [c127]Yael Vinker, Yuval Alaluf, Daniel Cohen-Or, Ariel Shamir:
CLIPascene: Scene Sketching with Different Types and Levels of Abstraction. ICCV 2023: 4123-4133 - [c126]Aryan Mikaeili, Or Perel, Mehdi Safaee, Daniel Cohen-Or, Ali Mahdavi-Amiri:
SKED: Sketch-guided Text-based 3D Editing. ICCV 2023: 14561-14573 - [c125]Jingyuan Yang, Qirui Huang, Tingting Ding, Dani Lischinski, Daniel Cohen-Or, Hui Huang:
EmoSet: A Large-scale Visual Emotion Dataset with Rich Attributes. ICCV 2023: 20326-20337 - [c124]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 - [c123]Dana Cohen-Bar, Elad Richardson, Gal Metzer, Raja Giryes, Daniel Cohen-Or:
Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes. ICCV (Workshops) 2023: 2912-2921 - [c122]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 - [c121]Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, Daniel Cohen-Or:
Prompt-to-Prompt Image Editing with Cross-Attention Control. ICLR 2023 - [c120]Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Daniel Cohen-Or, Amit Haim Bermano:
Human Motion Diffusion Model. ICLR 2023 - [c119]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 - [c118]Andrey Voynov, Kfir Aberman, Daniel Cohen-Or:
Sketch-Guided Text-to-Image Diffusion Models. SIGGRAPH (Conference Paper Track) 2023: 55:1-55:11 - [c117]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. SIGGRAPH Asia 2023: 72:1-72:10 - [c116]Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, Dani Lischinski:
Break-A-Scene: Extracting Multiple Concepts from a Single Image. SIGGRAPH Asia 2023: 96:1-96:12 - [i138]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) - [i137]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) - [i136]Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or:
TEXTure: Text-Guided Texturing of 3D Shapes. CoRR abs/2302.01721 (2023) - [i135]Sigal Raab, Inbal Leibovitch, Guy Tevet, Moab Arar, Amit H. Bermano, Daniel Cohen-Or:
Single Motion Diffusion. CoRR abs/2302.05905 (2023) - [i134]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) - [i133]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) - [i132]Shir Iluz, Yael Vinker, Amir Hertz, Daniel Berio, Daniel Cohen-Or, Ariel Shamir:
Word-As-Image for Semantic Typography. CoRR abs/2303.01818 (2023) - [i131]Andrey Voynov, Qinghao Chu, Daniel Cohen-Or, Kfir Aberman:
P+: Extended Textual Conditioning in Text-to-Image Generation. CoRR abs/2303.09522 (2023) - [i130]Aryan Mikaeili, Or Perel, Daniel Cohen-Or, Ali Mahdavi-Amiri:
SKED: Sketch-guided Text-based 3D Editing. CoRR abs/2303.10735 (2023) - [i129]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) - [i128]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) - [i127]Amir Hertz, Kfir Aberman, Daniel Cohen-Or:
Delta Denoising Score. CoRR abs/2304.07090 (2023) - [i126]Yuval Alaluf, Elad Richardson, Gal Metzer, Daniel Cohen-Or:
A Neural Space-Time Representation for Text-to-Image Personalization. CoRR abs/2305.15391 (2023) - [i125]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) - [i124]Yael Vinker, Andrey Voynov, Daniel Cohen-Or, Ariel Shamir:
Concept Decomposition for Visual Exploration and Inspiration. CoRR abs/2305.18203 (2023) - [i123]Alexandre Binninger, Amir Hertz, Olga Sorkine-Hornung, Daniel Cohen-Or, Raja Giryes:
SENS: Sketch-based Implicit Neural Shape Modeling. CoRR abs/2306.06088 (2023) - [i122]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) - [i121]Ariel Elazary, Yotam Nitzan, Daniel Cohen-Or:
Facial Reenactment Through a Personalized Generator. CoRR abs/2307.06307 (2023) - [i120]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) - [i119]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) - [i118]Elad Richardson, Kfir Goldberg, Yuval Alaluf, Daniel Cohen-Or:
ConceptLab: Creative Generation using Diffusion Prior Constraints. CoRR abs/2308.02669 (2023) - [i117]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) - [i116]Oren Katzir, Or Patashnik, Daniel Cohen-Or, Dani Lischinski:
Noise-Free Score Distillation. CoRR abs/2310.17590 (2023) - [i115]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) - [i114]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) - [i113]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) - [i112]Rinon Gal, Yael Vinker, Yuval Alaluf, Amit H. Bermano, Daniel Cohen-Or, Ariel Shamir, Gal Chechik:
Breathing Life Into Sketches Using Text-to-Video Priors. CoRR abs/2311.13608 (2023) - [i111]Mehdi Safaee, Aryan Mikaeili, Or Patashnik, Daniel Cohen-Or, Ali Mahdavi-Amiri:
CLiC: Concept Learning in Context. CoRR abs/2311.17083 (2023) - [i110]Andrey Voynov, Amir Hertz, Moab Arar, Shlomi Fruchter, Daniel Cohen-Or:
AnyLens: A Generative Diffusion Model with Any Rendering Lens. CoRR abs/2311.17609 (2023) - [i109]Amir Hertz, Andrey Voynov, Shlomi Fruchter, Daniel Cohen-Or:
Style Aligned Image Generation via Shared Attention. CoRR abs/2312.02133 (2023) - [i108]Brian Gordon, Yonatan Bitton, Yonatan Shafir, Roopal Garg, Xi Chen, Dani Lischinski, Daniel Cohen-Or, Idan Szpektor:
Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment. CoRR abs/2312.03766 (2023) - [i107]Yingda Yin, Yuzheng Liu, Yang Xiao, Daniel Cohen-Or, Jingwei Huang, Baoquan Chen:
SAI3D: Segment Any Instance in 3D Scenes. CoRR abs/2312.11557 (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]