Yotam Nitzan

According to our database, Yotam Nitzan authored at least 15 papers between 2020 and 2025.

Collaborative distances:

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

2025

Long-Context State-Space Video World Models.

Ryan Po, Yotam Nitzan, Richard Zhang, Berlin Chen, Tri Dao, Eli Shechtman, Gordon Wetzstein, Xun Huang

CoRR, May, 2025

Layer- and Timestep-Adaptive Differentiable Token Compression Ratios for Efficient Diffusion Transformers.

Haoran You, Connelly Barnes, Yuqian Zhou, Yan Kang, Zhenbang Du, Wei Zhou, Lingzhi Zhang, Yotam Nitzan, Xiaoyang Liu, Zhe Lin, Eli Shechtman, Sohrab Amirghodsi, Yingyan Celine Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Masked Extended Attention for Zero-Shot Virtual Try-On In The Wild.

Nadav Orzech, Yotam Nitzan, Ulysse Mizrahi, Dov Danon, Amit H. Bermano

CoRR, 2024

Lazy Diffusion Transformer for Interactive Image Editing.

Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, Michaël Gharbi

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Facial Reenactment Through a Personalized Generator.

Ariel Elazary, Yotam Nitzan, Daniel Cohen-Or

CoRR, 2023

Domain Expansion of Image Generators.

Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

MyStyle: A Personalized Generative Prior.

Yotam Nitzan, Kfir Aberman, Qiurui He, Orly Liba, Michal Yarom, Yossi Gandelsman, Inbar Mosseri, Yael Pritch, Daniel Cohen-Or

ACM Trans. Graph., 2022

State-of-the-Art in the Architecture, Methods and Applications of StyleGAN.

Amit H. Bermano, Rinon Gal, Yuval Alaluf, Ron Mokady, Yotam Nitzan, Omer Tov, Or Patashnik, Daniel Cohen-Or

Comput. Graph. Forum, 2022

Learning A Personalized Generative Prior For Face Images.

Yotam Nitzan, Kfir Aberman, Orly Liba, Qiurui He, Michal Yarom, Yossi Gandelsman, Inbar Mosseri, Yael Pritch, Daniel Cohen-Or

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Posters, Vancouver BC Canada, August 7, 2022

StyleAlign: Analysis and Applications of Aligned StyleGAN Models.

Zongze Wu, Yotam Nitzan, Eli Shechtman, Dani Lischinski

Proceedings of the Tenth International Conference on Learning Representations, 2022

LARGE: Latent-Based Regression through GAN Semantics.

Yotam Nitzan, Rinon Gal, Ofir Brenner, Daniel Cohen-Or

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Designing an encoder for StyleGAN image manipulation.

Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, Daniel Cohen-Or

ACM Trans. Graph., 2021

Encoding in Style: A StyleGAN Encoder for Image-to-Image Translation.

Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or

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

2020

Face identity disentanglement via latent space mapping.

Yotam Nitzan, Amit Bermano, Yangyan Li, Daniel Cohen-Or

ACM Trans. Graph., 2020

Disentangling in Latent Space by Harnessing a Pretrained Generator.

Yotam Nitzan, Amit Bermano, Yangyan Li, Daniel Cohen-Or

CoRR, 2020