Sagie Benaim

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 60

Top Topics

Visual Representations

Semantic Mappings

Diffusion Models

Top Venues

Publications

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 (2024)
Guy Yariv, Idan Schwartz, Yossi Adi, Sagie Benaim
Improving Visual Commonsense in Language Models via Multiple Image Generation. CoRR (2024)
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)
Isaac Labe, Noam Issachar, Itai Lang, Sagie Benaim
DGD: Dynamic 3D Gaussians Distillation. CoRR (2024)
Sagie Benaim, Frederik Warburg, Peter Ebert Christensen, Serge J. Belongie
Volumetric Disentanglement for 3D Scene Manipulation. WACV (2024)
Peter Ebert Christensen, Vésteinn Snæbjarnarson, Andrea Dittadi, Serge J. Belongie, Sagie Benaim
Assessing Neural Network Robustness via Adversarial Pivotal Tuning. WACV (2024)
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 (2023)
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 (2023)
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 (2023)
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)
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 (2023)
Idan Schwartz, Vésteinn Snæbjarnarson, Hila Chefer, Serge J. Belongie, Lior Wolf, Sagie Benaim
Discriminative Class Tokens for Text-to-Image Diffusion Models. ICCV (2023)
Ido Kessler, Omri Lifshitz, Sagie Benaim, Lior Wolf
Cross-Domain Relation Adaptation. ACML (2023)
Lior Ben-Moshe, Sagie Benaim, Lior Wolf
FewGAN: Generating from the Joint Distribution of a Few Images. CoRR (2022)
Sebastian Loeschcke, Serge J. Belongie, Sagie Benaim
Text-Driven Stylization of Video Objects. ECCV Workshops (4) (2022)
Peter Ebert Christensen, Vésteinn Snæbjarnarson, Andrea Dittadi, Serge J. Belongie, Sagie Benaim
Assessing Neural Network Robustness via Adversarial Pivotal Tuning. CoRR (2022)
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) (2022)
Sagie Benaim, Frederik Warburg, Peter Ebert Christensen, Serge J. Belongie
Volumetric Disentanglement for 3D Scene Manipulation. CoRR (2022)
Sebastian Loeschcke, Serge J. Belongie, Sagie Benaim
Text-Driven Stylization of Video Objects. CoRR (2022)
Lior Ben-Moshe, Sagie Benaim, Lior Wolf
FewGAN: Generating from the Joint Distribution of a Few Images. ICIP (2022)
Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, Rana Hanocka
Text2Mesh: Text-Driven Neural Stylization for Meshes. CVPR (2022)
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)
Yaron Gurovich, Sagie Benaim, Lior Wolf
On Disentangled and Locally Fair Representations. CoRR (2022)
Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf
Image-Based CLIP-Guided Essence Transfer. ECCV (13) (2022)
Oren Nuriel, Sagie Benaim, Lior Wolf
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification. CVPR (2021)
Shelly Sheynin, Sagie Benaim, Lior Wolf
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection. ICCV (2021)
Tomer Galanti, Sagie Benaim, Lior Wolf
Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs. J. Mach. Learn. Res. 22 (2021)
Shelly Sheynin, Sagie Benaim, Adam Polyak, Lior Wolf
Locally Shifted Attention With Early Global Integration. CoRR (2021)
Noam Gat, Sagie Benaim, Lior Wolf
Identity and Attribute Preserving Thumbnail Upscaling. ICIP (2021)
Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, Rana Hanocka
Text2Mesh: Text-Driven Neural Stylization for Meshes. CoRR (2021)
Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf
Image-Based CLIP-Guided Essence Transfer. CoRR (2021)
Noam Gat, Sagie Benaim, Lior Wolf
Identity and Attribute Preserving Thumbnail Upscaling. CoRR (2021)
Yaniv Benny, Tomer Galanti, Sagie Benaim, Lior Wolf
Evaluation Metrics for Conditional Image Generation. Int. J. Comput. Vis. 129 (5) (2021)
Shelly Sheynin, Sagie Benaim, Lior Wolf
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection. CoRR (2021)
Ron Mokady, Rotem Tzaban, Sagie Benaim, Amit H. Bermano, Daniel Cohen-Or
JOKR: Joint Keypoint Representation for Unsupervised Cross-Domain Motion Retargeting. CoRR (2021)
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)
Shir Gur, Sagie Benaim, Lior Wolf
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample. CoRR (2020)
Sagie Benaim, Ron Mokady, Amit Bermano, Daniel Cohen-Or, Lior Wolf
Structural-analogy from a Single Image Pair. CoRR (2020)
Oren Nuriel, Sagie Benaim, Lior Wolf
Permuted AdaIN: Enhancing the Representation of Local Cues in Image Classifiers. CoRR (2020)
Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel
SpeedNet: Learning the Speediness in Videos. CoRR (2020)
Ori Press, Tomer Galanti, Sagie Benaim, Lior Wolf
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer. CoRR (2020)
Ron Mokady, Sagie Benaim, Lior Wolf, Amit Bermano
Masked Based Unsupervised Content Transfer. ICLR (2020)
Shir Gur, Sagie Benaim, Lior Wolf
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample. NeurIPS (2020)
Lior Wolf, Sagie Benaim, Tomer Galanti
Unsupervised Learning of the Set of Local Maxima. CoRR (2020)
Yaniv Benny, Tomer Galanti, Sagie Benaim, Lior Wolf
Evaluation Metrics for Conditional Image Generation. CoRR (2020)
Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf
Domain Intersection and Domain Difference. ICCV (2019)
Ron Mokady, Sagie Benaim, Lior Wolf, Amit Bermano
Mask Based Unsupervised Content Transfer. CoRR (2019)
Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf
Domain Intersection and Domain Difference. CoRR (2019)
Ori Press, Tomer Galanti, Sagie Benaim, Lior Wolf
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer. ICLR (Poster) (2019)
Lior Wolf, Sagie Benaim, Tomer Galanti
Unsupervised Learning of the Set of Local Maxima. ICLR (Poster) (2019)
Michael Michelashvili, Sagie Benaim, Lior Wolf
Semi-supervised Monaural Singing Voice Separation with a Masking Network Trained on Synthetic Mixtures. ICASSP (2019)
Tomer Galanti, Sagie Benaim, Lior Wolf
Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs. CoRR (2018)
Michael Michelashvili, Sagie Benaim, Lior Wolf
Semi-Supervised Monaural Singing Voice Separation With a Masking Network Trained on Synthetic Mixtures. CoRR (2018)
Sagie Benaim, Tomer Galanti, Lior Wolf
Estimating the Success of Unsupervised Image to Image Translation. ECCV (5) (2018)
Sagie Benaim, Lior Wolf
One-Shot Unsupervised Cross Domain Translation. CoRR (2018)
Tomer Galanti, Lior Wolf, Sagie Benaim
The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings. ICLR (Poster) (2018)
Sagie Benaim, Lior Wolf
One-Shot Unsupervised Cross Domain Translation. NeurIPS (2018)
Sagie Benaim, Lior Wolf
One-Sided Unsupervised Domain Mapping. NIPS (2017)
Sagie Benaim, Tomer Galanti, Lior Wolf
Maximally Distant Cross Domain Generators for Estimating Per-Sample Error. CoRR (2017)
Sagie Benaim, Lior Wolf
One-Sided Unsupervised Domain Mapping. CoRR (2017)