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cs.CV2024
Bringing Objects to Life: training-free 4D generation from 3D objects through view consistent noise
Ohad Rahamim, Ori Malca, Dvir Samuel +1
Recent advancements in generative models have enabled the creation of dynamic 4D content - 3D objects in motion - based on text prompts, which holds potential for applications in v…
cs.CV2024
Lay-A-Scene: Personalized 3D Object Arrangement Using Text-to-Image Priors
Ohad Rahamim, Hilit Segev, Idan Achituve +3
Generating 3D visual scenes is at the forefront of visual generative AI, but current 3D generation techniques struggle with generating scenes with multiple high-resolution objects.…
cs.CV2023
Point-Cloud Completion with Pretrained Text-to-image Diffusion Models
Yoni Kasten, Ohad Rahamim, Gal Chechik
Point-cloud data collected in real-world applications are often incomplete. Data is typically missing due to objects being observed from partial viewpoints, which only capture a sp…