2 citations · 2 across the 6 of their papers we have counts for
9 papers
Ordered Diffusion for 3D Human Registration
Mattia Masiero, Ilya A. Petrov, Daniel Cremers +2
3D human registration has historically been treated as a regression task, assuming a unique ground-truth alignment exists between the template and an input point cloud. In reality,…
Stitched Embeddings: A Unified Latent Space for 3D Garments and 2D Patterns
Andrea Sanchietti, Riccardo Marin, Bharat Lal Bhatnagar +2
While garments are essential for realistic digital humans, their topological variety makes them much harder to model than parametric bodies. Traditional tailoring relies on 2D sewi…
ECHO: Ego-Centric modeling of Human-Object interactions
Ilya A. Petrov, Vladimir Guzov, Riccardo Marin +5
Modeling human-object interactions (HOI) from an egocentric perspective is a critical yet challenging task, particularly when relying on sparse signals from wearable devices like s…
Gen-3Diffusion: Realistic Image-to-3D Generation via 2D & 3D Diffusion Synergy
Yuxuan Xue, Xianghui Xie, Riccardo Marin +1
Creating realistic 3D objects and clothed avatars from a single RGB image is an attractive yet challenging problem. Due to its ill-posed nature, recent works leverage powerful prio…
TriDi: Trilateral Diffusion of 3D Humans, Objects, and Interactions
Ilya A. Petrov, Riccardo Marin, Julian Chibane +1
Modeling 3D human-object interaction (HOI) is a problem of great interest for computer vision and a key enabler for virtual and mixed-reality applications. Existing methods work in…
Human-3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Models
Yuxuan Xue, Xianghui Xie, Riccardo Marin +1
Creating realistic avatars from a single RGB image is an attractive yet challenging problem. Due to its ill-posed nature, recent works leverage powerful prior from 2D diffusion mod…
CloSe: A 3D Clothing Segmentation Dataset and Model
Dimitrije Antić, Garvita Tiwari, Batuhan Ozcomlekci +2
3D Clothing modeling and datasets play crucial role in the entertainment, animation, and digital fashion industries. Existing work often lacks detailed semantic understanding or us…
NICP: Neural ICP for 3D Human Registration at Scale
Riccardo Marin, Enric Corona, Gerard Pons-Moll
Aligning a template to 3D human point clouds is a long-standing problem crucial for tasks like animation, reconstruction, and enabling supervised learning pipelines. Recent data-dr…
NSF: Neural Surface Fields for Human Modeling from Monocular Depth
Yuxuan Xue, Bharat Lal Bhatnagar, Riccardo Marin +4
Obtaining personalized 3D animatable avatars from a monocular camera has several real world applications in gaming, virtual try-on, animation, and VR/XR, etc. However, it is very c…