Chefer, Hila

Transformer Interpretability Beyond Attention Visualization

Chefer, H., Gur, S., & Wolf, L. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 903

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

Chefer, H., Alaluf, Y., Vinker, Y., Wolf, L., & Cohen-Or, D. (2023) · ACM Transactions on Graphics

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 461

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

Chefer, H., Gur, S., & Wolf, L. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Explainable Artificial Intelligence (XAI)Multimodal Machine Learning Applications

Cited by 313

Lumiere: A Space-Time Diffusion Model for Video Generation

Bar-Tal, O., Chefer, H., Tov, O., Herrmann, C., Paiss, R., Zada, S., Ephrat, A., Hur, J., Liu, G., Raj, A., et al. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 17

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

Chefer, H., Singer, U., Zohar, A., Kirstain, Y., Polyak, A., Taigman, Y., Wolf, L., & Sheynin, S. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 0