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Danny Cohen-Or
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- affiliation: Tel Aviv University, Israel
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2020 – today
- 2022
[j237]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)- [j236]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) - [i98]Meitar Shechter, Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or:
DeepMLS: Geometry-Aware Control Point Deformation. CoRR abs/2201.01873 (2022) - [i97]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) - [i96]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) - [i95]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) - [i94]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) - [i93]Xianxu Hou, Linlin Shen, Or Patashnik, Daniel Cohen-Or, Hui Huang:
FEAT: Face Editing with Attention. CoRR abs/2202.02713 (2022) - [i92]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) - [i91]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) - [i90]Oren Katzir, Vicky Perepelook, Dani Lischinski, Daniel Cohen-Or:
Multi-level Latent Space Structuring for Generative Control. CoRR abs/2202.05910 (2022) - [i89]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) - [i88]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) - [i87]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) - [i86]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) - [i85]Oren Katzir, Dani Lischinski, Daniel Cohen-Or:
Shape-Pose Disentanglement using SE(3)-equivariant Vector Neurons. CoRR abs/2204.01159 (2022) - [i84]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) - 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]Rinon Gal, Dana Cohen, Amit Bermano, Daniel Cohen-Or:
SWAGAN: A Style-based Wavelet-driven Generative Model. CoRR abs/2102.06108 (2021) - [i80]Or Malkai, Min Lu, Daniel Cohen-Or:
Clusterplot: High-dimensional Cluster Visualization. CoRR abs/2103.02992 (2021) - [i79]Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, Dani Lischinski:
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery. CoRR abs/2103.17249 (2021) - [i78]Yuval Alaluf, Or Patashnik, Daniel Cohen-Or:
ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement. CoRR abs/2104.02699 (2021) - [i77]Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or:
Progressive Encoding for Neural Optimization. CoRR abs/2104.09125 (2021) - [i76]Gal Metzer, Rana Hanocka, Denis Zorin, Raja Giryes, Daniele Panozzo, Daniel Cohen-Or:
Orienting Point Clouds with Dipole Propagation. CoRR abs/2105.01604 (2021) - [i75]Brian Gordon, Sigal Raab, Guy Azov, Raja Giryes, Daniel Cohen-Or:
FLEX: Parameter-free Multi-view 3D Human Motion Reconstruction. CoRR abs/2105.01937 (2021) - [i74]Gal Metzer, Rana Hanocka, Raja Giryes, Niloy J. Mitra, Daniel Cohen-Or:
Z2P: Instant Rendering of Point Clouds. CoRR abs/2105.14548 (2021) - [i73]Zihao Yan, Zimu Yi, Ruizhen Hu, Niloy J. Mitra, Daniel Cohen-Or, Hui Huang:
Consistent Two-Flow Network for Tele-Registration of Point Clouds. CoRR abs/2106.00329 (2021) - [i72]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. CoRR abs/2106.04477 (2021) - [i71]Daniel Roich, Ron Mokady, Amit H. Bermano, Daniel Cohen-Or:
Pivotal Tuning for Latent-based Editing of Real Images. CoRR abs/2106.05744 (2021) - [i70]Ron Mokady, Rotem Tzaban, Sagie Benaim, Amit H. Bermano, Daniel Cohen-Or:
JOKR: Joint Keypoint Representation for Unsupervised Cross-Domain Motion Retargeting. CoRR abs/2106.09679 (2021) - [i69]Omer Kafri, Or Patashnik, Yuval Alaluf, Daniel Cohen-Or:
StyleFusion: A Generative Model for Disentangling Spatial Segments. CoRR abs/2107.07437 (2021) - [i68]Yotam Nitzan, Rinon Gal, Ofir Brenner, Daniel Cohen-Or:
LARGE: Latent-Based Regression through GAN Semantics. CoRR abs/2107.11186 (2021) - [i67]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) - [i66]Jinming Cao, Hanchao Leng, Dani Lischinski, Danny Cohen-Or, Changhe Tu, Yangyan Li:
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation. CoRR abs/2108.10528 (2021) - [i65]Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or:
Mesh Draping: Parametrization-Free Neural Mesh Transfer. CoRR abs/2110.05433 (2021) - [i64]Andreas Aristidou, Anastasios Yiannakides, Kfir Aberman, Daniel Cohen-Or, Ariel Shamir, Yiorgos Chrysanthou:
Rhythm is a Dancer: Music-Driven Motion Synthesis with Global Structure. CoRR abs/2111.12159 (2021) - 2020
- [j223]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) - [j222]Or Patashnik, Min Lu, Amit H. Bermano, Daniel Cohen-Or:
Temporal scatterplots. Comput. Vis. Media 6(4): 385-400 (2020) - [j221]Hadar Averbuch-Elor, Nadav Bar, Daniel Cohen-Or:
Border-Peeling Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 42(7): 1791-1797 (2020) - [j220]Kfir Aberman, Peizhuo Li, Dani Lischinski, Olga Sorkine-Hornung, Daniel Cohen-Or, Baoquan Chen:
Skeleton-aware networks for deep motion retargeting. ACM Trans. Graph. 39(4): 62 (2020) - [j219]Kfir Aberman, Yijia Weng, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen:
Unpaired motion style transfer from video to animation. ACM Trans. Graph. 39(4): 64 (2020) - [j218]Omry Sendik, Dani Lischinski, Daniel Cohen-Or:
Unsupervised K-modal styled content generation. ACM Trans. Graph. 39(4): 100 (2020) - [j217]Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Deep geometric texture synthesis. ACM Trans. Graph. 39(4): 108 (2020) - [j216]Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or:
Point2Mesh: a self-prior for deformable meshes. ACM Trans. Graph. 39(4): 126 (2020) - [j215]Xianzhi Li, Lequan Yu, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
Unsupervised Detection of Distinctive Regions on 3D Shapes. ACM Trans. Graph. 39(5): 158:1-158:14 (2020) - [j214]Jiahui Lyu, Bojian Wu, Dani Lischinski, Daniel Cohen-Or, Hui Huang:
Differentiable refraction-tracing for mesh reconstruction of transparent objects. ACM Trans. Graph. 39(6): 195:1-195:13 (2020) - [j213]Yotam Nitzan, Amit Bermano, Yangyan Li, Daniel Cohen-Or:
Face identity disentanglement via latent space mapping. ACM Trans. Graph. 39(6): 225:1-225:14 (2020) - [j212]Noa Fish, Lilach Perry, Amit Bermano, Daniel Cohen-Or:
SketchPatch: sketch stylization via seamless patch-level synthesis. ACM Trans. Graph. 39(6): 227:1-227:14 (2020) - [j211]Min Lu, Shuaiqi Wang, Joel Lanir, Noa Fish, Yang Yue, Daniel Cohen-Or, Hui Huang:
Winglets: Visualizing Association with Uncertainty in Multi-class Scatterplots. IEEE Trans. Vis. Comput. Graph. 26(1): 770-779 (2020) - [j210]Yiftach Ginger, Dov Danon, Hadar Averbuch-Elor, Daniel Cohen-Or:
Implicit pairs for boosting unpaired image-to-image translation. Vis. Informatics 4(4): 50-58 (2020) - [c96]Min Lu, Chufeng Wang, Joel Lanir, Nanxuan Zhao, Hanspeter Pfister, Daniel Cohen-Or, Hui Huang:
Exploring Visual Information Flows in Infographics. CHI 2020: 1-12 - [c95]Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
PointGMM: A Neural GMM Network for Point Clouds. CVPR 2020: 12051-12060 - [c94]Moab Arar, Yiftach Ginger, Dov Danon, Amit H. Bermano, Daniel Cohen-Or:
Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation. CVPR 2020: 13407-13416 - [c93]Wallace P. Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao (Richard) Zhang:
GANHopper: Multi-hop GAN for Unsupervised Image-to-Image Translation. ECCV (26) 2020: 363-379 - [c92]Oren Katzir, Dani Lischinski, Daniel Cohen-Or:
Cross-Domain Cascaded Deep Translation. ECCV (2) 2020: 673-689 - [c91]Xiao Tang, Xiaowei Hu, Chi-Wing Fu, Daniel Cohen-Or:
GrabAR: Occlusion-aware Grabbing Virtual Objects in AR. UIST 2020: 697-708 - [c90]Omry Sendik, Dani Lischinski, Daniel Cohen-Or:
CrossNet: Latent Cross-Consistency for Unpaired Image Translation. WACV 2020: 3032-3040 - [i63]Omry Sendik, Dani Lischinski, Daniel Cohen-Or:
Unsupervised K-modal Styled Content Generation. CoRR abs/2001.03640 (2020) - [i62]Wallace P. Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao (Richard) Zhang:
GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation. CoRR abs/2002.10102 (2020) - [i61]Xianzhi Li, Ruihui Li, Guangyong Chen, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
A Rotation-Invariant Framework for Deep Point Cloud Analysis. CoRR abs/2003.07238 (2020) - [i60]Moab Arar, Yiftach Ginger, Dov Danon, Ilya Leizerson, Amit Bermano, Daniel Cohen-Or:
Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation. CoRR abs/2003.08073 (2020) - [i59]Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
PointGMM: a Neural GMM Network for Point Clouds. CoRR abs/2003.13326 (2020) - [i58]Sagie Benaim, Ron Mokady, Amit Bermano, Daniel Cohen-Or, Lior Wolf:
Structural-analogy from a Single Image Pair. CoRR abs/2004.02222 (2020) - [i57]Guy Shacht, Sharon Fogel, Dov Danon, Daniel Cohen-Or:
Weakly Aligned Joint Cross-Modality Super Resolution. CoRR abs/2004.09965 (2020) - [i56]Noa Fish, Richard Zhang, Lilach Perry, Daniel Cohen-Or, Eli Shechtman, Connelly Barnes:
Image Morphing with Perceptual Constraints and STN Alignment. CoRR abs/2004.14071 (2020) - [i55]Kfir Aberman, Peizhuo Li, Dani Lischinski, Olga Sorkine-Hornung, Daniel Cohen-Or, Baoquan Chen:
Skeleton-Aware Networks for Deep Motion Retargeting. CoRR abs/2005.05732 (2020) - [i54]Kfir Aberman, Yijia Weng, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen:
Unpaired Motion Style Transfer from Video to Animation. CoRR abs/2005.05751 (2020) - [i53]Yotam Nitzan, Amit Bermano, Yangyan Li, Daniel Cohen-Or:
Disentangling in Latent Space by Harnessing a Pretrained Generator. CoRR abs/2005.07728 (2020) - [i52]Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or:
Point2Mesh: A Self-Prior for Deformable Meshes. CoRR abs/2005.11084 (2020) - [i51]Xuelin Chen, Daniel Cohen-Or, Baoquan Chen, Niloy J. Mitra:
Neural Graphics Pipeline for Controllable Image Generation. CoRR abs/2006.10569 (2020) - [i50]Jinming Cao, Yangyan Li, Mingchao Sun, Ying Chen, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen, Changhe Tu:
DO-Conv: Depthwise Over-parameterized Convolutional Layer. CoRR abs/2006.12030 (2020) - [i49]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. CoRR abs/2006.12075 (2020) - [i48]Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Deep Geometric Texture Synthesis. CoRR abs/2007.00074 (2020) - [i47]Rinon Gal, Amit Bermano, Hao Zhang, Daniel Cohen-Or:
MRGAN: Multi-Rooted 3D Shape Generation with Unsupervised Part Disentanglement. CoRR abs/2007.12944 (2020) - [i46]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) - [i45]Gal Metzer, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Self-Sampling for Neural Point Cloud Consolidation. CoRR abs/2008.06471 (2020) - [i44]Qian Zheng, Weikai Wu, Hanting Pan, Niloy J. Mitra, Daniel Cohen-Or, Hui Huang:
Object Properties Inferring from and Transfer for Human Interaction Motions. CoRR abs/2008.08999 (2020) - [i43]Noa Fish, Lilach Perry, Amit Bermano, Daniel Cohen-Or:
SketchPatch: Sketch Stylization via Seamless Patch-level Synthesis. CoRR abs/2009.02216 (2020) - [i42]Jiahui Lyu, Bojian Wu, Dani Lischinski, Daniel Cohen-Or, Hui Huang:
Differentiable Refraction-Tracing for Mesh Reconstruction of Transparent Objects. CoRR abs/2009.09144 (2020) - [i41]Maayan Shuvi, Noa Fish, Kfir Aberman, Ariel Shamir, Daniel Cohen-Or:
Neural Alignment for Face De-pixelization. CoRR abs/2009.13856 (2020) - [i40]Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or:
BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer. CoRR abs/2010.02036 (2020) - [i39]Pengdi Huang, Liqiang Lin, Fuyou Xue, Kai Xu, Danny Cohen-Or, Hui Huang:
Hausdorff Point Convolution with Geometric Priors. CoRR abs/2012.13118 (2020)
2010 – 2019
- 2019
- [j209]Sharon Fogel, Hadar Averbuch-Elor, Daniel Cohen-Or, Jacob Goldberger:
Clustering-Driven Deep Embedding With Pairwise Constraints. IEEE Computer Graphics and Applications 39(4): 16-27 (2019) - [j208]Kfir Aberman, Mingyi Shi, Jing Liao, Dani Lischinski, Baoquan Chen, Daniel Cohen-Or:
Deep Video-Based Performance Cloning. Comput. Graph. Forum 38(2): 219-233 (2019) - [j207]Omry Sendik, Dani Lischinski, Daniel Cohen-Or:
What's in a Face? Metric Learning for Face Characterization. Comput. Graph. Forum 38(2): 405-416 (2019) - [j206]Dov Danon, Hadar Averbuch-Elor, Ohad Fried, Daniel Cohen-Or:
Unsupervised natural image patch learning. Comput. Vis. Media 5(3): 229-237 (2019) - [j205]Leonid Blouvshtein, Daniel Cohen-Or:
Outlier Detection for Robust Multi-Dimensional Scaling. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2273-2279 (2019) - [j204]Rana Hanocka, Noa Fish, Zhenhua Wang, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or:
ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning. ACM Trans. Graph. 38(1): 1:1-1:14 (2019) - [j203]Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, Hao (Richard) Zhang:
GRAINS: Generative Recursive Autoencoders for INdoor Scenes. ACM Trans. Graph. 38(2): 12:1-12:16 (2019) - [j202]Kfir Aberman, Rundi Wu, Dani Lischinski, Baoquan Chen, Daniel Cohen-Or:
Learning character-agnostic motion for motion retargeting in 2D. ACM Trans. Graph. 38(4): 75:1-75:14 (2019) - [j201]Rana Hanocka, Amir Hertz, Noa Fish, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or:
MeshCNN: a network with an edge. ACM Trans. Graph. 38(4): 90:1-90:12 (2019) - [j200]Zhijie Wu, Xiang Wang, Di Lin, Dani Lischinski, Daniel Cohen-Or, Hui Huang:
SAGNet: structure-aware generative network for 3D-shape modeling. ACM Trans. Graph. 38(4): 91:1-91:14 (2019) - [j199]Kangxue Yin, Zhiqin Chen, Hui Huang, Daniel Cohen-Or, Hao Zhang:
LOGAN: unpaired shape transform in latent overcomplete space. ACM Trans. Graph. 38(6): 198:1-198:13 (2019) - [j198]Kangxue Yin, Hui Huang, Edmond S. L. Ho, Hao Wang, Taku Komura, Daniel Cohen-Or, Hao Zhang:
A Sampling Approach to Generating Closely Interacting 3D Pose-Pairs from 2D Annotations. IEEE Trans. Vis. Comput. Graph. 25(6): 2217-2227 (2019) - [c89]Yifan Wang, Shihao Wu, Hui Huang, Daniel Cohen-Or, Olga Sorkine-Hornung:
Patch-Based Progressive 3D Point Set Upsampling. CVPR 2019: 5958-5967 - [c88]Amir Hertz, Sharon Fogel, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Blind Visual Motif Removal From a Single Image. CVPR 2019: 6858-6867 - [c87]Di Lin, Dingguo Shen, Siting Shen, Yuanfeng Ji, Dani Lischinski, Daniel Cohen-Or, Hui Huang:
ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation. CVPR 2019: 7490-7499 - [c86]Ruihui Li, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
PU-GAN: A Point Cloud Upsampling Adversarial Network. ICCV 2019: 7202-7211 - [c85]Nadav Schor, Oren Katzir, Hao Zhang, Daniel Cohen-Or: