140 citations · 141 across the 4 of their papers we have counts for
4 papers
Gen2Physics: Grounding Generated 3D Meshes in Physics via Multi-View Material Decomposition
Mauro Comi, Jordi Serrano Berbel, Kevis-Kokitsi Maninis +2
While state-of-the-art generative models produce high-fidelity 3D meshes, these outputs lack the physical properties required for interactive simulation, gaming, or robotics. We in…
OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects
Akshay Krishnan, Abhijit Kundu, Kevis-Kokitsi Maninis +2
We propose OmniNOCS, a large-scale monocular dataset with 3D Normalized Object Coordinate Space (NOCS) maps, object masks, and 3D bounding box annotations for indoor and outdoor sc…
Probing the 3D Awareness of Visual Foundation Models
Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis +7
Recent advances in large-scale pretraining have yielded visual foundation models with strong capabilities. Not only can recent models generalize to arbitrary images for their train…
Convolutional Oriented Boundaries
Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Arbeláez +1
We present Convolutional Oriented Boundaries (COB), which produces multiscale oriented contours and region hierarchies starting from generic image classification Convolutional Neur…