2 citations · 4 across the 11 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
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…