Point2Mesh: a self-prior for deformable meshes. - Rana Hanocka; Gal Metzer; Raja Giryes; Daniel Cohen-Or (ACM Trans. Graph., 2020)

Z2P: Instant Rendering of Point Clouds. - Gal Metzer; Rana Hanocka; Raja Giryes; Niloy J. Mitra; Daniel Cohen-Or (CoRR, 2021)

Self-Sampling for Neural Point Cloud Consolidation. - Gal Metzer; Rana Hanocka; Raja Giryes; Daniel Cohen-Or (ACM Trans. Graph., 2021)

Orienting point clouds with dipole propagation. - Gal Metzer; Rana Hanocka; Denis Zorin; Raja Giryes; Daniele Panozzo; Daniel Cohen-Or (ACM Trans. Graph., 2021)

TetGAN: A Convolutional Neural Network for Tetrahedral Mesh Generation. - William Gao; April Wang; Gal Metzer; Raymond A. Yeh; Rana Hanocka (BMVC, 2022)

NeuralMLS: Geometry-Aware Control Point Deformation. - Meitar Shechter; Rana Hanocka; Gal Metzer; Raja Giryes; Daniel Cohen-Or (Eurographics (Short Papers), 2022)

Intelligent Reflecting Surface OFDM Communication with Deep Neural Prior. - Tomer Fireaizen; Gal Metzer; Dan Ben-David; Yair Moshe; Israel Cohen; Emil Björnson (ICC, 2022)

Z2P: Instant Visualization of Point Clouds. - Gal Metzer; Rana Hanocka; Raja Giryes; Niloy J. Mitra; Daniel Cohen-Or (Comput. Graph. Forum, 2022)

DeepMLS: Geometry-Aware Control Point Deformation. - Meitar Shechter; Rana Hanocka; Gal Metzer; Raja Giryes; Daniel Cohen-Or (CoRR, 2022)

Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures. - Gal Metzer; Elad Richardson; Or Patashnik; Raja Giryes; Daniel Cohen-Or (CVPR, 2023)

Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes. - Dana Cohen-Bar; Elad Richardson; Gal Metzer; Raja Giryes; Daniel Cohen-Or (ICCV (Workshops), 2023)

TEXTure: Text-Guided Texturing of 3D Shapes. - Elad Richardson; Gal Metzer; Yuval Alaluf; Raja Giryes; Daniel Cohen-Or (SIGGRAPH (Conference Paper Track), 2023)

A Neural Space-Time Representation for Text-to-Image Personalization. - Yuval Alaluf; Elad Richardson; Gal Metzer; Daniel Cohen-Or (ACM Trans. Graph., 2023)