2 citations · 4 across the 11 of their papers we have counts for
14 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…
DuoMo: Dual Motion Diffusion for World-Space Human Reconstruction
Yufu Wang, Evonne Ng, Soyong Shin +8
We present DuoMo, a generative method that recovers human motion in world-space coordinates from unconstrained videos with noisy or incomplete observations. Reconstructing such mot…
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…
MHR: Momentum Human Rig
Aaron Ferguson, Ahmed A. A. Osman, Berta Bescos +44
We present MHR, a parametric human body model that combines the decoupled skeleton/shape paradigm of ATLAS with a flexible, modern rig and pose corrective system inspired by the Mo…
ATLAS: Decoupling Skeletal and Shape Parameters for Expressive Parametric Human Modeling
Jinhyung Park, Javier Romero, Shunsuke Saito +7
Parametric body models offer expressive 3D representation of humans across a wide range of poses, shapes, and facial expressions, typically derived by learning a basis over registe…
S2GO: Streaming Sparse Gaussian Occupancy Prediction
Jinhyung Park, Yihan Hu, Chensheng Peng +3
Despite the demonstrated efficiency and performance of sparse query-based representations for perception, state-of-the-art 3D occupancy prediction methods still rely on voxel-based…
ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping
Shun Iwase, Zubair Irshad, Katherine Liu +8
Robotic grasping is a cornerstone capability of embodied systems. Many methods directly output grasps from partial information without modeling the geometry of the scene, leading t…
Generalizable Neural Human Renderer
Mana Masuda, Jinhyung Park, Shun Iwase +2
While recent advancements in animatable human rendering have achieved remarkable results, they require test-time optimization for each subject which can be a significant limitation…
Zero-Shot Multi-Object Scene Completion
Shun Iwase, Katherine Liu, Vitor Guizilini +4
We present a 3D scene completion method that recovers the complete geometry of multiple unseen objects in complex scenes from a single RGB-D image. Despite notable advancements in…
Multi-Person 3D Pose Estimation from Multi-View Uncalibrated Depth Cameras
Yu-Jhe Li, Yan Xu, Rawal Khirodkar +2
We tackle the task of multi-view, multi-person 3D human pose estimation from a limited number of uncalibrated depth cameras. Recently, many approaches have been proposed for 3D hum…
Multi-View Person Matching and 3D Pose Estimation with Arbitrary Uncalibrated Camera Networks
Yan Xu, Kris Kitani
Cross-view person matching and 3D human pose estimation in multi-camera networks are particularly difficult when the cameras are extrinsically uncalibrated. Existing efforts genera…