190 citations · 998 across the 71 of their papers we have counts for
9 papers · 1 filter
RadarGen: Automotive Radar Point Cloud Generation from Cameras
Tomer Borreda, Fangqiang Ding, Sanja Fidler +2
We present RadarGen, a diffusion model for synthesizing realistic automotive radar point clouds from multi-view camera imagery. RadarGen adapts efficient image-latent diffusion to…
SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling
Elisabetta Fedele, Francis Engelmann, Ian Huang +3
Generative methods for 3D assets have recently achieved remarkable progress, yet providing intuitive and precise control over the object geometry remains a key challenge. Existing…
InstructMix2Mix: Consistent Sparse-View Editing Through Multi-View Model Personalization
Daniel Gilo, Or Litany
We address the task of multi-view image editing from sparse input views, where the inputs can be seen as a mix of images capturing the scene from different viewpoints. The goal is…
Gaussian See, Gaussian Do: Semantic 3D Motion Transfer from Multiview Video
Yarin Bekor, Gal Michael Harari, Or Perel +1
We present Gaussian See, Gaussian Do, a novel approach for semantic 3D motion transfer from multiview video. Our method enables rig-free, cross-category motion transfer between obj…
Appreciate the View: A Task-Aware Evaluation Framework for Novel View Synthesis
Saar Stern, Ido Sobol, Or Litany
The goal of Novel View Synthesis (NVS) is to generate realistic images of a given content from unseen viewpoints. But how can we trust that a generated image truly reflects the int…
Time-to-Move: Training-Free Motion Controlled Video Generation via Dual-Clock Denoising
Assaf Singer, Noam Rotstein, Amir Mann +2
Diffusion-based video generation can create realistic videos, yet existing image- and text-based conditioning fails to offer precise motion control. Prior methods for motion-condit…
MonSTeR: a Unified Model for Motion, Scene, Text Retrieval
Luca Collorone, Matteo Gioia, Massimiliano Pappa +5
Intention drives human movement in complex environments, but such movement can only happen if the surrounding context supports it. Despite the intuitive nature of this mechanism, e…
FRIDU: Functional Map Refinement with Guided Image Diffusion
Avigail Cohen Rimon, Mirela Ben-Chen, Or Litany
We propose a novel approach for refining a given correspondence map between two shapes. A correspondence map represented as a functional map, namely a change of basis matrix, can b…
ZDySS -- Zero-Shot Dynamic Scene Stylization using Gaussian Splatting
Abhishek Saroha, Florian Hofherr, Mariia Gladkova +3
Stylizing a dynamic scene based on an exemplar image is critical for various real-world applications, including gaming, filmmaking, and augmented and virtual reality. However, achi…