Hila Chefer

According to our database, Hila Chefer authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Self-Supervised Flow Matching for Scalable Multi-Modal Synthesis.

Hila Chefer, Patrick Esser, Dominik Lorenz, Dustin Podell, Vikash Raja, Vinh Tong, Antonio Torralba, Robin Rombach

CoRR, March, 2026

2025

A Meaningful Perturbation Metric for Evaluating Explainability Methods.

Daniel Cohen-Or, Hila Chefer, Lior Wolf

Proceedings of the Image Analysis - 23rd Scandinavian Conference, 2025

FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation.

Ariel Shaulov, Itay Hazan, Lior Wolf, Hila Chefer

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability.

Yarden Bakish, Itamar Zimerman, Hila Chefer, Lior Wolf

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models.

Hila Chefer, Uriel Singer, Amit Zohar, Yuval Kirstain, Adam Polyak, Yaniv Taigman, Lior Wolf, Shelly Sheynin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Still-Moving: Customized Video Generation without Customized Video Data.

Hila Chefer, Shiran Zada, Roni Paiss, Ariel Ephrat, Omer Tov, Michael Rubinstein, Lior Wolf, Tali Dekel, Tomer Michaeli, Inbar Mosseri

ACM Trans. Graph., December, 2024

Lumiere: A Space-Time Diffusion Model for Video Generation.

Omer Bar-Tal, Hila Chefer, Omer Tov, Charles Herrmann, Roni Paiss, Shiran Zada, Ariel Ephrat, Junhwa Hur, Guanghui Liu, Amit Raj, Yuanzhen Li, Michael Rubinstein, Tomer Michaeli, Oliver Wang, Deqing Sun, Tali Dekel, Inbar Mosseri

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

The Hidden Language of Diffusion Models.

Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models.

Hila Chefer, Yuval Alaluf, Yael Vinker, Lior Wolf, Daniel Cohen-Or

ACM Trans. Graph., August, 2023

Discriminative Class Tokens for Text-to-Image Diffusion Models.

Idan Schwartz, Vésteinn Snæbjarnarson, Sagie Benaim, Hila Chefer, Ryan Cotterell, Lior Wolf, Serge J. Belongie

CoRR, 2023

Discriminative Class Tokens for Text-to-Image Diffusion Models.

Idan Schwartz, Vésteinn Snæbjarnarson, Hila Chefer, Serge J. Belongie, Lior Wolf, Sagie Benaim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Optimizing Relevance Maps of Vision Transformers Improves Robustness.

Hila Chefer, Idan Schwartz, Lior Wolf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

No Token Left Behind: Explainability-Aided Image Classification and Generation.

Roni Paiss, Hila Chefer, Lior Wolf

Proceedings of the Computer Vision - ECCV 2022, 2022

Image-Based CLIP-Guided Essence Transfer.

Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers.

Hila Chefer, Shir Gur, Lior Wolf

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Transformer Interpretability Beyond Attention Visualization.

Hila Chefer, Shir Gur, Lior Wolf

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021