Disentangling in Latent Space by Harnessing a Pretrained Generator. - Yotam Nitzan; Amit Bermano; Yangyan Li; Daniel Cohen-Or (CoRR, 2020)

Face identity disentanglement via latent space mapping. - Yotam Nitzan; Amit Bermano; Yangyan Li; Daniel Cohen-Or (ACM Trans. Graph., 2020)

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 (CVPR, 2021)

Designing an encoder for StyleGAN image manipulation. - Omer Tov; Yuval Alaluf; Yotam Nitzan; Or Patashnik; Daniel Cohen-Or (ACM Trans. Graph., 2021)

LARGE: Latent-Based Regression through GAN Semantics. - Yotam Nitzan; Rinon Gal; Ofir Brenner; Daniel Cohen-Or (CVPR, 2022)

StyleAlign: Analysis and Applications of Aligned StyleGAN Models. - Zongze Wu 002; Yotam Nitzan; Eli Shechtman; Dani Lischinski (ICLR, 2022)

Learning A Personalized Generative Prior For Face Images. - Yotam Nitzan; Kfir Aberman; Orly Liba; Qiurui He 001; Michal Yarom; Yossi Gandelsman; Inbar Mosseri; Yael Pritch; Daniel Cohen-Or (SIGGRAPH Posters, 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)

MyStyle: A Personalized Generative Prior. - Yotam Nitzan; Kfir Aberman; Qiurui He 001; Orly Liba; Michal Yarom; Yossi Gandelsman; Inbar Mosseri; Yael Pritch; Daniel Cohen-Or (ACM Trans. Graph., 2022)

Domain Expansion of Image Generators. - Yotam Nitzan; Michaël Gharbi; Richard Zhang 001; Taesung Park; Jun-Yan Zhu; Daniel Cohen-Or; Eli Shechtman (CVPR, 2023)

Facial Reenactment Through a Personalized Generator. - Ariel Elazary; Yotam Nitzan; Daniel Cohen-Or (CoRR, 2023)

Lazy Diffusion Transformer for Interactive Image Editing. - Yotam Nitzan; Zongze Wu 002; Richard Zhang 001; Eli Shechtman; Daniel Cohen-Or; Taesung Park; Michaël Gharbi (ECCV (24), 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)

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; et al. (CVPR, 2025)

Long-Context State-Space Video World Models. - Ryan Po; Yotam Nitzan; Richard Zhang 001; Berlin Chen; Tri Dao; Eli Shechtman; Gordon Wetzstein; Xun Huang (CoRR, 2025)