2 citations · 2 across the 8 of their papers we have counts for
10 papers
Point2Part: Unified 3D Partitioning from Point Prompts
Hao-Tang Tsui, Yu-Rou Tuan, Xiaoxuan Ma +3
Existing 3D part decomposition methods do not necessarily partition the original shape into non-overlapping parts that collectively cover the entire shape, allowing overlaps or gap…
SNAP3D: Physically Grounded 3D Parts for Assembly from a Single Image
Yu-Rou Tuan, Hao-Tang Tsui, Nicolas Ugrinovic +2
Part-aware 3D asset generation enables applications such as editing, articulation, simulation, and fabrication, yet existing methods can generate visually complete individual parts…
Lift4D: Harmonizing Single-View 3D Estimation for 4D Reconstruction In-the-Wild
Yehonathan Litman, Xiaoxuan Ma, Manan Shah +4
Reconstructing dynamic non-rigid objects from monocular video requires integrating visual cues from direct observations with data-driven priors over geometry and appearance. Prior…
REST3D: Reconstructing Physically Stable 3D Scenes from a Single Image
Xiaoxuan Ma, Jiashun Wang, Nicolas Ugrinovic +2
Reconstructing physically stable 3D scenes from a single RGB image enables casual images to be converted into simulation-ready digital assets for applications such as immersive int…
SAM 3D Body: Robust Full-Body Human Mesh Recovery
Xitong Yang, Devansh Kukreja, Don Pinkus +11
We introduce SAM 3D Body (3DB), a promptable model for single-image full-body 3D human mesh recovery (HMR) that demonstrates state-of-the-art performance, with strong generalizatio…
Purposer: Putting Human Motion Generation in Context
Nicolas Ugrinovic, Thomas Lucas, Fabien Baradel +3
We present a novel method to generate human motion to populate 3D indoor scenes. It can be controlled with various combinations of conditioning signals such as a path in a scene, t…
MultiPhys: Multi-Person Physics-aware 3D Motion Estimation
Nicolas Ugrinovic, Boxiao Pan, Georgios Pavlakos +5
We introduce MultiPhys, a method designed for recovering multi-person motion from monocular videos. Our focus lies in capturing coherent spatial placement between pairs of individu…
Permutation-Invariant Relational Network for Multi-person 3D Pose Estimation
Nicolas Ugrinovic, Adria Ruiz, Antonio Agudo +2
The recovery of multi-person 3D poses from a single RGB image is a severely ill-conditioned problem due to the inherent 2D-3D depth ambiguity, inter-person occlusions, and body tru…
Single-view 3D Body and Cloth Reconstruction under Complex Poses
Nicolas Ugrinovic, Albert Pumarola, Alberto Sanfeliu +1
Recent advances in 3D human shape reconstruction from single images have shown impressive results, leveraging on deep networks that model the so-called implicit function to learn t…
Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images
Nicolas Ugrinovic, Adria Ruiz, Antonio Agudo +2
We address the problem of multi-person 3D body pose and shape estimation from a single image. While this problem can be addressed by applying single-person approaches multiple time…