5 citations · 5 across the 3 of their papers we have counts for
4 papers · 1 filter
All modalities are equal, but video is more equal: Closing the Cross-Attention Gap in Joint Video Generation
Ohad Rahamim, Dvir Samuel, Idan Schwartz +1
Video is a rich representation of a physical event, capturing appearance, geometry, motion, and temporal evolution. Other modalities, such as 3D body motion or audio, encode narrow…
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…
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.…
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…