Hila Chefer

27 papers A* 7Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Self-Supervised Flow Matching for Scalable Multi-Modal Synthesis.
CoRR
Hila Chefer, Patrick Esser, Dominik Lorenz, Dustin Podell, Vikash Raja, Vinh Tong, Antonio Torralba, Robin Rombach
2025 — conf
A Meaningful Perturbation Metric for Evaluating Explainability Methods.
SCIA (2)
Daniel Cohen-Or, Hila Chefer, Lior Wolf
2025 J jnl
A Meaningful Perturbation Metric for Evaluating Explainability Methods.
CoRR
Daniel Cohen-Or, Hila Chefer, Lior Wolf
2025 J jnl
FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation.
CoRR
Ariel Shaulov, Itay Hazan, Lior Wolf, Hila Chefer
2025 J jnl
Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability.
CoRR
Yarden Bakish, Itamar Zimerman, Hila Chefer, Lior Wolf
2025 A* conf
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models.
ICML
Hila Chefer, Uriel Singer, Amit Zohar, Yuval Kirstain, Adam Polyak, Yaniv Taigman, Lior Wolf, Shelly Sheynin
2025 J jnl
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models.
CoRR
Hila Chefer, Uriel Singer, Amit Zohar, Yuval Kirstain, Adam Polyak, Yaniv Taigman, Lior Wolf, Shelly Sheynin
2024 A* conf
Lumiere: A Space-Time Diffusion Model for Video Generation.
SIGGRAPH Asia
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
2024 J jnl
Lumiere: A Space-Time Diffusion Model for Video Generation.
CoRR
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
2024 J jnl
Still-Moving: Customized Video Generation without Customized Video Data.
CoRR
Hila Chefer, Shiran Zada, Roni Paiss, Ariel Ephrat, Omer Tov, Michael Rubinstein, Lior Wolf, Tali Dekel, Tomer Michaeli, Inbar Mosseri
2024 J jnl
Still-Moving: Customized Video Generation without Customized Video Data.
ACM Trans. Graph.
Hila Chefer, Shiran Zada, Roni Paiss, Ariel Ephrat, Omer Tov, Michael Rubinstein, Lior Wolf, Tali Dekel, Tomer Michaeli, Inbar Mosseri
2024 A* conf
The Hidden Language of Diffusion Models.
ICLR
Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf
2023 J jnl
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models.
CoRR
Hila Chefer, Yuval Alaluf, Yael Vinker, Lior Wolf, Daniel Cohen-Or
2023 J jnl
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models.
ACM Trans. Graph.
Hila Chefer, Yuval Alaluf, Yael Vinker, Lior Wolf, Daniel Cohen-Or
2023 A* conf
Discriminative Class Tokens for Text-to-Image Diffusion Models.
ICCV
Idan Schwartz, Vésteinn Snæbjarnarson, Hila Chefer, Serge J. Belongie, Lior Wolf, Sagie Benaim
2023 J jnl
Discriminative Class Tokens for Text-to-Image Diffusion Models.
CoRR
Idan Schwartz, Vésteinn Snæbjarnarson, Sagie Benaim, Hila Chefer, Ryan Cotterell, Lior Wolf, Serge J. Belongie
2023 J jnl
The Hidden Language of Diffusion Models.
CoRR
Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf
2022 — conf
Image-Based CLIP-Guided Essence Transfer.
ECCV (13)
Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf
2022 — conf
No Token Left Behind: Explainability-Aided Image Classification and Generation.
ECCV (12)
Roni Paiss, Hila Chefer, Lior Wolf
2022 J jnl
No Token Left Behind: Explainability-Aided Image Classification and Generation.
CoRR
Roni Paiss, Hila Chefer, Lior Wolf
2022 A* conf
Optimizing Relevance Maps of Vision Transformers Improves Robustness.
NeurIPS
Hila Chefer, Idan Schwartz, Lior Wolf
2022 J jnl
Optimizing Relevance Maps of Vision Transformers Improves Robustness.
CoRR
Hila Chefer, Idan Schwartz, Lior Wolf
2021 A* conf
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers.
ICCV
Hila Chefer, Shir Gur, Lior Wolf
2021 J jnl
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers.
CoRR
Hila Chefer, Shir Gur, Lior Wolf
2021 J jnl
Image-Based CLIP-Guided Essence Transfer.
CoRR
Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf
2021 A* conf
Transformer Interpretability Beyond Attention Visualization.
CVPR
Hila Chefer, Shir Gur, Lior Wolf
2020 J jnl
Transformer Interpretability Beyond Attention Visualization.
CoRR
Hila Chefer, Shir Gur, Lior Wolf