Benaim, Sagie

27 publications

TMLR 2025 Designing a Conditional Prior Distribution for Flow-Based Generative Models Noam Issachar, Mohammad Salama, Raanan Fattal, Sagie Benaim

CVPR 2025 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

WACV 2024 Assessing Neural Network Robustness via Adversarial Pivotal Tuning Peter Ebert Christensen, Vésteinn Snæbjarnarson, Andrea Dittadi, Serge Belongie, Sagie Benaim

ICML 2024 Coarse-to-Fine Tensor Trains for Compact Visual Representations Sebastian Bugge Loeschcke, Dan Wang, Christian Munklinde Leth-Espensen, Serge Belongie, Michael Kastoryano, Sagie Benaim

ECCV 2024 DGD: Dynamic 3D Gaussians Distillation Isaac Labe, Noam Issachar, Itai Lang, Sagie Benaim

AAAI 2024 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

ICMLW 2024 Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation Idan Schwartz, Guy Yariv, Itai Gat, Yossi Adi, Sagie Benaim, Lior Wolf

NeurIPSW 2024 Generating Intermediate Representations for Compositional Text-to-Image Generation Ran Galun, Sagie Benaim

WACV 2024 Volumetric Disentanglement for 3D Scene Manipulation Sagie Benaim, Frederik Warburg, Peter Ebert Christensen, Serge Belongie

ACML 2023 Cross-Domain Relation Adaptation Ido Kessler, Omri Lifshitz, Sagie Benaim, Lior Wolf

ICCV 2023 Discriminative Class Tokens for Text-to-Image Diffusion Models Idan Schwartz, Vésteinn Snæbjarnarson, Hila Chefer, Serge Belongie, Lior Wolf, Sagie Benaim

NeurIPS 2023 Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery Katie Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger

ECCV 2022 Image-Based CLIP-Guided Essence Transfer Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf

NeurIPS 2022 Polynomial Neural Fields for Subband Decomposition and Manipulation Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan Barron, Thomas Funkhouser, Bharath Hariharan, Serge Belongie

ECCVW 2022 Text-Driven Stylization of Video Objects Sebastian Loeschcke, Serge J. Belongie, Sagie Benaim

CVPR 2022 Text2Mesh: Text-Driven Neural Stylization for Meshes Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, Rana Hanocka

ICCV 2021 A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection Shelly Sheynin, Sagie Benaim, Lior Wolf

CVPR 2021 Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification Oren Nuriel, Sagie Benaim, Lior Wolf

JMLR 2021 Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs Tomer Galanti, Sagie Benaim, Lior Wolf

NeurIPS 2020 Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample Shir Gur, Sagie Benaim, Lior Wolf

ICLR 2020 Masked Based Unsupervised Content Transfer Ron Mokady, Sagie Benaim, Lior Wolf, Amit Bermano

ICLR 2019 Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer Ori Press, Tomer Galanti, Sagie Benaim, Lior Wolf

ICLR 2019 Unsupervised Learning of the Set of Local Maxima Lior Wolf, Sagie Benaim, Tomer Galanti

ECCV 2018 Estimating the Success of Unsupervised Image to Image Translation Sagie Benaim, Tomer Galanti, Lior Wolf

NeurIPS 2018 One-Shot Unsupervised Cross Domain Translation Sagie Benaim, Lior Wolf

ICLR 2018 The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings Tomer Galanti, Lior Wolf, Sagie Benaim

NeurIPS 2017 One-Sided Unsupervised Domain Mapping Sagie Benaim, Lior Wolf