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2020 – today
- 2025
[i39]Guy Yariv, Yuval Kirstain, Amit Zohar, Shelly Sheynin, Yaniv Taigman, Yossi Adi, Sagie Benaim, Adam Polyak:
Through-The-Mask: Mask-based Motion Trajectories for Image-to-Video Generation. CoRR abs/2501.03059 (2025)- [i38]Noam Issachar, Mohammad Salama, Raanan Fattal, Sagie Benaim:
Designing a Conditional Prior Distribution for Flow-Based Generative Models. CoRR abs/2502.09611 (2025) - [i37]Yoel Levy, David Shavin, Itai Lang, Sagie Benaim:
Structurally Disentangled Feature Fields Distillation for 3D Understanding and Editing. CoRR abs/2502.14789 (2025) - [i36]Itay Chachy, Guy Yariv, Sagie Benaim:
RewardSDS: Aligning Score Distillation via Reward-Weighted Sampling. CoRR abs/2503.09601 (2025) - [i35]Gal Fiebelman, Hadar Averbuch-Elor, Sagie Benaim:
Let it Snow! Animating Static Gaussian Scenes With Dynamic Weather Effects. CoRR abs/2504.05296 (2025) - 2024
- [c28]Guy Yariv, Itai Gat, Sagie Benaim, Lior Wolf, Idan Schwartz, Yossi Adi:
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation. AAAI 2024: 6639-6647 - [c27]Isaac Labe, Noam Issachar, Itai Lang, Sagie Benaim:
DGD: Dynamic 3D Gaussians Distillation. ECCV (68) 2024: 361-378 - [c26]Sebastian Loeschcke, Dan Wang, Christian Leth-Espensen, Serge J. Belongie, Michael J. Kastoryano, Sagie Benaim:
Coarse-To-Fine Tensor Trains for Compact Visual Representations. ICML 2024 - [c25]Peter Ebert Christensen
, Vésteinn Snæbjarnarson, Andrea Dittadi, Serge J. Belongie, Sagie Benaim:
Assessing Neural Network Robustness via Adversarial Pivotal Tuning. WACV 2024: 2940-2949 - [c24]Sagie Benaim, Frederik Warburg, Peter Ebert Christensen, Serge J. Belongie:
Volumetric Disentanglement for 3D Scene Manipulation. WACV 2024: 8652-8662 - [i34]Isaac Labe, Noam Issachar, Itai Lang, Sagie Benaim:
DGD: Dynamic 3D Gaussians Distillation. CoRR abs/2405.19321 (2024) - [i33]Sebastian Loeschcke, Dan Wang, Christian Leth-Espensen, Serge J. Belongie, Michael J. Kastoryano, Sagie Benaim:
Coarse-To-Fine Tensor Trains for Compact Visual Representations. CoRR abs/2406.04332 (2024) - [i32]Guy Yariv, Idan Schwartz, Yossi Adi, Sagie Benaim:
Improving Visual Commonsense in Language Models via Multiple Image Generation. CoRR abs/2406.13621 (2024) - [i31]Ran Galun, Sagie Benaim:
Generating Intermediate Representations for Compositional Text-To-Image Generation. CoRR abs/2410.09792 (2024) - 2023
- [c23]Ido Kessler, Omri Lifshitz, Sagie Benaim, Lior Wolf:
Cross-Domain Relation Adaptation. ACML 2023: 630-645 - [c22]Idan Schwartz, Vésteinn Snæbjarnarson, Hila Chefer, Serge J. Belongie, Lior Wolf, Sagie Benaim:
Discriminative Class Tokens for Text-to-Image Diffusion Models. ICCV 2023: 22668-22678 - [c21]Katie Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark E. Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger:
Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery. NeurIPS 2023 - [i30]Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas A. Funkhouser, Bharath Hariharan, Serge J. Belongie:
Polynomial Neural Fields for Subband Decomposition and Manipulation. CoRR abs/2302.04862 (2023) - [i29]Idan Schwartz, Vésteinn Snæbjarnarson, Sagie Benaim, Hila Chefer, Ryan Cotterell, Lior Wolf, Serge J. Belongie:
Discriminative Class Tokens for Text-to-Image Diffusion Models. CoRR abs/2303.17155 (2023) - [i28]Guy Yariv, Itai Gat, Sagie Benaim, Lior Wolf, Idan Schwartz, Yossi Adi:
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation. CoRR abs/2309.16429 (2023) - [i27]Katie Z. Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark E. Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger:
Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery. CoRR abs/2310.19080 (2023) - 2022
- [j5]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) - [c20]Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, Rana Hanocka:
Text2Mesh: Text-Driven Neural Stylization for Meshes. CVPR 2022: 13482-13492 - [c19]Sebastian Loeschcke, Serge J. Belongie, Sagie Benaim:
Text-Driven Stylization of Video Objects. ECCV Workshops (4) 2022: 594-609 - [c18]Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf:
Image-Based CLIP-Guided Essence Transfer. ECCV (13) 2022: 695-711 - [c17]Lior Ben-Moshe, Sagie Benaim, Lior Wolf:
FewGAN: Generating from the Joint Distribution of a Few Images. ICIP 2022: 751-755 - [c16]Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas A. Funkhouser, Bharath Hariharan, Serge J. Belongie:
Polynomial Neural Fields for Subband Decomposition and Manipulation. NeurIPS 2022 - [i26]Yaron Gurovich, Sagie Benaim, Lior Wolf:
On Disentangled and Locally Fair Representations. CoRR abs/2205.02673 (2022) - [i25]Sagie Benaim, Frederik Warburg, Peter Ebert Christensen, Serge J. Belongie:
Volumetric Disentanglement for 3D Scene Manipulation. CoRR abs/2206.02776 (2022) - [i24]Sebastian Loeschcke, Serge J. Belongie, Sagie Benaim:
Text-Driven Stylization of Video Objects. CoRR abs/2206.12396 (2022) - [i23]Lior Ben-Moshe, Sagie Benaim, Lior Wolf:
FewGAN: Generating from the Joint Distribution of a Few Images. CoRR abs/2207.11226 (2022) - [i22]Peter Ebert Christensen, Vésteinn Snæbjarnarson, Andrea Dittadi, Serge J. Belongie, Sagie Benaim:
Assessing Neural Network Robustness via Adversarial Pivotal Tuning. CoRR abs/2211.09782 (2022) - 2021
- [b1]Sagie Benaim:
New Problems and Methods in Unsupervised Machine Learning. Tel Aviv University, Israel, 2021 - [j4]Saguy Benaim, Ron Mokady, Amit Bermano, Lior Wolf:
Structural Analogy from a Single Image Pair. Comput. Graph. Forum 40(1): 249-265 (2021) - [j3]Yaniv Benny, Tomer Galanti, Sagie Benaim, Lior Wolf:
Evaluation Metrics for Conditional Image Generation. Int. J. Comput. Vis. 129(5): 1712-1731 (2021) - [j2]Tomer Galanti, Sagie Benaim, Lior Wolf:
Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs. J. Mach. Learn. Res. 22: 90:1-90:42 (2021) - [c15]Oren Nuriel, Sagie Benaim, Lior Wolf:
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification. CVPR 2021: 9482-9491 - [c14]Shelly Sheynin, Sagie Benaim, Lior Wolf:
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection. ICCV 2021: 8475-8484 - [c13]Noam Gat, Sagie Benaim, Lior Wolf:
Identity and Attribute Preserving Thumbnail Upscaling. ICIP 2021: 2708-2712 - [i21]Shelly Sheynin, Sagie Benaim, Lior Wolf:
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection. CoRR abs/2104.14535 (2021) - [i20]Noam Gat, Sagie Benaim, Lior Wolf:
Identity and Attribute Preserving Thumbnail Upscaling. CoRR abs/2105.14609 (2021) - [i19]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) - [i18]Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf:
Image-Based CLIP-Guided Essence Transfer. CoRR abs/2110.12427 (2021) - [i17]Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, Rana Hanocka:
Text2Mesh: Text-Driven Neural Stylization for Meshes. CoRR abs/2112.03221 (2021) - [i16]Shelly Sheynin, Sagie Benaim, Adam Polyak, Lior Wolf:
Locally Shifted Attention With Early Global Integration. CoRR abs/2112.05080 (2021) - 2020
- [c12]Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel:
SpeedNet: Learning the Speediness in Videos. CVPR 2020: 9919-9928 - [c11]Ron Mokady, Sagie Benaim, Lior Wolf, Amit Bermano:
Masked Based Unsupervised Content Transfer. ICLR 2020 - [c10]Shir Gur, Sagie Benaim, Lior Wolf:
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample. NeurIPS 2020 - [i15]Ori Press, Tomer Galanti, Sagie Benaim, Lior Wolf:
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer. CoRR abs/2001.05017 (2020) - [i14]Lior Wolf, Sagie Benaim, Tomer Galanti:
Unsupervised Learning of the Set of Local Maxima. CoRR abs/2001.05026 (2020) - [i13]Sagie Benaim, Ron Mokady, Amit Bermano, Daniel Cohen-Or, Lior Wolf:
Structural-analogy from a Single Image Pair. CoRR abs/2004.02222 (2020) - [i12]Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel:
SpeedNet: Learning the Speediness in Videos. CoRR abs/2004.06130 (2020) - [i11]Yaniv Benny, Tomer Galanti, Sagie Benaim, Lior Wolf:
Evaluation Metrics for Conditional Image Generation. CoRR abs/2004.12361 (2020) - [i10]Shir Gur, Sagie Benaim, Lior Wolf:
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample. CoRR abs/2006.12226 (2020) - [i9]Oren Nuriel, Sagie Benaim, Lior Wolf:
Permuted AdaIN: Enhancing the Representation of Local Cues in Image Classifiers. CoRR abs/2010.05785 (2020)
2010 – 2019
- 2019
- [c9]Michael Michelashvili, Sagie Benaim, Lior Wolf:
Semi-supervised Monaural Singing Voice Separation with a Masking Network Trained on Synthetic Mixtures. ICASSP 2019: 291-295 - [c8]Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf:
Domain Intersection and Domain Difference. ICCV 2019: 3444-3452 - [c7]Ori Press, Tomer Galanti, Sagie Benaim, Lior Wolf:
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer. ICLR (Poster) 2019 - [c6]Lior Wolf, Sagie Benaim, Tomer Galanti:
Unsupervised Learning of the Set of Local Maxima. ICLR (Poster) 2019 - [i8]Ron Mokady, Sagie Benaim, Lior Wolf, Amit Bermano:
Mask Based Unsupervised Content Transfer. CoRR abs/1906.06558 (2019) - [i7]Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf:
Domain Intersection and Domain Difference. CoRR abs/1908.11628 (2019) - 2018
- [c5]Sagie Benaim, Tomer Galanti, Lior Wolf:
Estimating the Success of Unsupervised Image to Image Translation. ECCV (5) 2018: 222-238 - [c4]Tomer Galanti, Lior Wolf, Sagie Benaim:
The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings. ICLR (Poster) 2018 - [c3]Sagie Benaim, Lior Wolf:
One-Shot Unsupervised Cross Domain Translation. NeurIPS 2018: 2108-2118 - [i6]Sagie Benaim, Lior Wolf:
One-Shot Unsupervised Cross Domain Translation. CoRR abs/1806.06029 (2018) - [i5]Tomer Galanti, Sagie Benaim, Lior Wolf:
Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs. CoRR abs/1807.08501 (2018) - [i4]Michael Michelashvili, Sagie Benaim, Lior Wolf:
Semi-Supervised Monaural Singing Voice Separation With a Masking Network Trained on Synthetic Mixtures. CoRR abs/1812.06087 (2018) - 2017
- [c2]Sagie Benaim, Lior Wolf:
One-Sided Unsupervised Domain Mapping. NIPS 2017: 752-762 - [i3]Sagie Benaim, Lior Wolf:
One-Sided Unsupervised Domain Mapping. CoRR abs/1706.00826 (2017) - [i2]Sagie Benaim, Tomer Galanti, Lior Wolf:
Maximally Distant Cross Domain Generators for Estimating Per-Sample Error. CoRR abs/1712.07886 (2017) - 2016
- [j1]Saguy Benaim, Michael Benedikt, Witold Charatonik, Emanuel Kieronski, Rastislav Lenhardt, Filip Mazowiecki, James Worrell:
Complexity of Two-Variable Logic on Finite Trees. ACM Trans. Comput. Log. 17(4): 32 (2016) - 2013
- [c1]Saguy Benaim, Michael Benedikt, Witold Charatonik, Emanuel Kieronski, Rastislav Lenhardt, Filip Mazowiecki, James Worrell:
Complexity of Two-Variable Logic on Finite Trees. ICALP (2) 2013: 74-88 - [i1]Saguy Benaim, Michael Benedikt, Rastislav Lenhardt, James Worrell:
Controlling the Depth, Size, and Number of Subtrees for Two-variable Logic on Trees. CoRR abs/1304.6925 (2013)
Coauthor Index
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