Personalized Federated Learning for Medical Segmentation using Hypernetworks. - Hilit Segev; Gal Chechik (Tiny Papers @ ICLR, 2023)

Lay-A-Scene: Personalized 3D Object Arrangement Using Text-to-Image Priors. - Ohad Rahamim; Hilit Segev; Idan Achituve; Yuval Atzmon; Yoni Kasten; Gal Chechik (CoRR, 2024)

Make It Count: Text-to-Image Generation with an Accurate Number of Objects. - Lital Binyamin; Yoad Tewel; Hilit Segev; Eran Hirsch; Royi Rassin; Gal Chechik (CVPR, 2025)

UmbraTTS: Adapting Text-to-Speech to Environmental Contexts with Flow Matching. - Neta Glazer; Aviv Navon; Yael Segal; Aviv Shamsian; Hilit Segev; Asaf Buchnick; Menachem Pirchi; Gill Hetz; Joseph Keshet (CoRR, 2025)