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Hila Chefer
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2020 – today
- 2024
- [j2]Hila Chefer, Shiran Zada, Roni Paiss, Ariel Ephrat, Omer Tov, Michael Rubinstein, Lior Wolf, Tali Dekel, Tomer Michaeli, Inbar Mosseri:
Still-Moving: Customized Video Generation without Customized Video Data. ACM Trans. Graph. 43(6): 244:1-244:11 (2024) - [c8]Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf:
The Hidden Language of Diffusion Models. ICLR 2024 - [c7]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:
Lumiere: A Space-Time Diffusion Model for Video Generation. SIGGRAPH Asia 2024: 94:1-94:11 - [i10]Omer Bar-Tal, Hila Chefer, Omer Tov, Charles Herrmann, Roni Paiss, Shiran Zada, Ariel Ephrat, Junhwa Hur, Yuanzhen Li, Tomer Michaeli, Oliver Wang, Deqing Sun, Tali Dekel, Inbar Mosseri:
Lumiere: A Space-Time Diffusion Model for Video Generation. CoRR abs/2401.12945 (2024) - [i9]Hila Chefer, Shiran Zada, Roni Paiss, Ariel Ephrat, Omer Tov, Michael Rubinstein, Lior Wolf, Tali Dekel, Tomer Michaeli, Inbar Mosseri:
Still-Moving: Customized Video Generation without Customized Video Data. CoRR abs/2407.08674 (2024) - 2023
- [j1]Hila Chefer
, Yuval Alaluf
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models. ACM Trans. Graph. 42(4): 148:1-148:10 (2023) - [c6]Idan Schwartz, Vésteinn Snæbjarnarson
Discriminative Class Tokens for Text-to-Image Diffusion Models. ICCV 2023: 22668-22678 - [i8]Hila Chefer, Yuval Alaluf, Yael Vinker, Lior Wolf, Daniel Cohen-Or:
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models. CoRR abs/2301.13826 (2023) - [i7]Idan Schwartz, Vésteinn Snæbjarnarson, Sagie Benaim, Hila Chefer, Ryan Cotterell, Lior Wolf, Serge J. Belongie:
Discriminative Class Tokens for Text-to-Image Diffusion Models. CoRR abs/2303.17155 (2023) - [i6]Hila Chefer, Oran Lang, Mor Geva
The Hidden Language of Diffusion Models. CoRR abs/2306.00966 (2023) - 2022
- [c5]Roni Paiss, Hila Chefer, Lior Wolf:
No Token Left Behind: Explainability-Aided Image Classification and Generation. ECCV (12) 2022: 334-350 - [c4]Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf:
Image-Based CLIP-Guided Essence Transfer. ECCV (13) 2022: 695-711 - [c3]Hila Chefer, Idan Schwartz, Lior Wolf:
Optimizing Relevance Maps of Vision Transformers Improves Robustness. NeurIPS 2022 - [i5]Roni Paiss, Hila Chefer, Lior Wolf:
No Token Left Behind: Explainability-Aided Image Classification and Generation. CoRR abs/2204.04908 (2022) - [i4]Hila Chefer, Idan Schwartz, Lior Wolf:
Optimizing Relevance Maps of Vision Transformers Improves Robustness. CoRR abs/2206.01161 (2022) - 2021
- [c2]Hila Chefer, Shir Gur, Lior Wolf:
Transformer Interpretability Beyond Attention Visualization. CVPR 2021: 782-791 - [c1]Hila Chefer, Shir Gur, Lior Wolf:
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers. ICCV 2021: 387-396 - [i3]Hila Chefer, Shir Gur, Lior Wolf:
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers. CoRR abs/2103.15679 (2021) - [i2]Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf:
Image-Based CLIP-Guided Essence Transfer. CoRR abs/2110.12427 (2021) - 2020
- [i1]Hila Chefer, Shir Gur, Lior Wolf:
Transformer Interpretability Beyond Attention Visualization. CoRR abs/2012.09838 (2020)
Coauthor Index
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