1 citations · 2 across the 7 of their papers we have counts for
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MV-Forcing: Long Multi-View Video Generation via 4D-Grounded Spatio-Temporal Self-Forcing
Gal Fiebelman, Hadar Averbuch-Elor, Sagie Benaim
Recent advances in video diffusion models have enabled either long single-view generation through temporal autoregression, or short multi-view synthesis through bidirectional atten…
PhyGenHOI: Physically-Aware 4D Generation of Dynamic Human-Object Interactions
Omer Benishu, Gal Fiebelman, Sagie Benaim
We address the task of generating physically accurate and visually faithful 4D Human-Object Interaction (HOI). Given a static 3D human and target object represented as 3D Gaussian…
Lang3D-XL: Language Embedded 3D Gaussians for Large-scale Scenes
Shai Krakovsky, Gal Fiebelman, Sagie Benaim +1
Embedding a language field in a 3D representation enables richer semantic understanding of spatial environments by linking geometry with descriptive meaning. This allows for a more…
4-LEGS: 4D Language Embedded Gaussian Splatting
Gal Fiebelman, Tamir Cohen, Ayellet Morgenstern +2
The emergence of neural representations has revolutionized our means for digitally viewing a wide range of 3D scenes, enabling the synthesis of photorealistic images rendered from…
Spice-E : Structural Priors in 3D Diffusion using Cross-Entity Attention
Etai Sella, Gal Fiebelman, Noam Atia +1
We are witnessing rapid progress in automatically generating and manipulating 3D assets due to the availability of pretrained text-image diffusion models. However, time-consuming o…
Vox-E: Text-guided Voxel Editing of 3D Objects
Etai Sella, Gal Fiebelman, Peter Hedman +1
Large scale text-guided diffusion models have garnered significant attention due to their ability to synthesize diverse images that convey complex visual concepts. This generative…