| 2026 | ACL | LaMI: Augmenting Large Language Models via Late Multi-Image Fusion. | Guy Yariv, Idan Schwartz, Yossi Adi, Sagie Benaim |
| 2025 | CVPR | Through-The-Mask: Mask-based Motion Trajectories for Image-to-Video Generation. | Guy Yariv, Yuval Kirstain, Amit Zohar, Shelly Sheynin, Yaniv Taigman, Yossi Adi, Sagie Benaim, Adam Polyak |
| 2025 | SiggraphA | Lang3D-XL: Language Embedded 3D Gaussians for Large-scale Scenes. | Shai Krakovsky, Gal Fiebelman, Sagie Benaim, Hadar Averbuch-Elor |
| 2024 | AAAI | Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation. | Guy Yariv, Itai Gat, Sagie Benaim, Lior Wolf, Idan Schwartz, Yossi Adi |
| 2024 | ECCV | DGD: Dynamic 3D Gaussians Distillation. | Isaac Labe, Noam Issachar, Itai Lang, Sagie Benaim |
| 2024 | ICML | Coarse-To-Fine Tensor Trains for Compact Visual Representations. | Sebastian Loeschcke, Dan Wang, Christian Leth-Espensen, Serge J. Belongie, Michael J. Kastoryano, Sagie Benaim |
| 2024 | WACV | Volumetric Disentanglement for 3D Scene Manipulation. | Sagie Benaim, Frederik Warburg, Peter Ebert Christensen, Serge J. Belongie |
| 2024 | WACV | Assessing Neural Network Robustness via Adversarial Pivotal Tuning. | Peter Ebert Christensen, Vsteinn Snbjarnarson, Andrea Dittadi, Serge J. Belongie, Sagie Benaim |
| 2023 | ACML | Cross-Domain Relation Adaptation. | Ido Kessler, Omri Lifshitz, Sagie Benaim, Lior Wolf |
| 2023 | ICCV | Discriminative Class Tokens for Text-to-Image Diffusion Models. | Idan Schwartz, Vsteinn Snbjarnarson, Hila Chefer, Serge J. Belongie, Lior Wolf, Sagie Benaim |
| 2022 | CVPR | Text2Mesh: Text-Driven Neural Stylization for Meshes. | Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, Rana Hanocka |
| 2022 | ECCV | Image-Based CLIP-Guided Essence Transfer. | Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf |
| 2022 | ECCV | Text-Driven Stylization of Video Objects. | Sebastian Loeschcke, Serge J. Belongie, Sagie Benaim |
| 2022 | ICIP | FewGAN: Generating from the Joint Distribution of a Few Images. | Lior Ben-Moshe, Sagie Benaim, Lior Wolf |
| 2021 | CVPR | Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification. | Oren Nuriel, Sagie Benaim, Lior Wolf |
| 2021 | ICCV | A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection. | Shelly Sheynin, Sagie Benaim, Lior Wolf |
| 2021 | ICIP | Identity and Attribute Preserving Thumbnail Upscaling. | Noam Gat, Sagie Benaim, Lior Wolf |
| 2020 | CVPR | SpeedNet: Learning the Speediness in Videos. | Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel |
| 2020 | ICLR | Masked Based Unsupervised Content Transfer. | Ron Mokady, Sagie Benaim, Lior Wolf, Amit Bermano |
| 2019 | ICASSP | Semi-supervised Monaural Singing Voice Separation with a Masking Network Trained on Synthetic Mixtures. | Michael Michelashvili, Sagie Benaim, Lior Wolf |
| 2019 | ICCV | Domain Intersection and Domain Difference. | Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf |
| 2019 | ICLR | Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer. | Ori Press, Tomer Galanti, Sagie Benaim, Lior Wolf |
| 2019 | ICLR | Unsupervised Learning of the Set of Local Maxima. | Lior Wolf, Sagie Benaim, Tomer Galanti |
| 2018 | ECCV | Estimating the Success of Unsupervised Image to Image Translation. | Sagie Benaim, Tomer Galanti, Lior Wolf |
| 2018 | ICLR | The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings. | Tomer Galanti, Lior Wolf, Sagie Benaim |