5 papers
Exploring 6D Object Pose Estimation with Deformation
Zhiqiang Liu, Rui Song, Duanmu Chuangqi +3
We present DeSOPE, a large-scale dataset for 6DoF deformed objects. Most 6D object pose methods assume rigid or articulated objects, an assumption that fails in practice as objects…
SCFlow2: Plug-and-Play Object Pose Refiner with Shape-Constraint Scene Flow
Qingyuan Wang, Rui Song, Jiaojiao Li +3
We introduce SCFlow2, a plug-and-play refinement framework for 6D object pose estimation. Most recent 6D object pose methods rely on refinement to get accurate results. However, mo…
Hierarchical Flow Diffusion for Efficient Frame Interpolation
Yang Hai, Guo Wang, Tan Su +2
Most recent diffusion-based methods still show a large gap compared to non-diffusion methods for video frame interpolation, in both accuracy and efficiency. Most of them formulate…
Modular Quantization-Aware Training for 6D Object Pose Estimation
Saqib Javed, Chengkun Li, Andrew Price +2
Edge applications, such as collaborative robotics and spacecraft rendezvous, demand efficient 6D object pose estimation on resource-constrained embedded platforms. Existing 6D pose…
Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera
Haixin Shi, Yinlin Hu, Daniel Koguciuk +3
We propose an approach for reconstructing free-moving object from a monocular RGB video. Most existing methods either assume scene prior, hand pose prior, object category pose prio…