Recent strides in Text-to-3D techniques have been propelled by distillin...
Human mesh reconstruction from a single image is challenging in the pres...
Real-scanned point clouds are often incomplete due to viewpoint, occlusi...
Synthetic data has emerged as a promising source for 3D human research a...
As it is hard to calibrate single-view RGB images in the wild, existing ...
3D human pose and shape estimation (a.k.a. "human mesh recovery") has
ac...
Recovering a textured 3D mesh from a monocular image is highly challengi...
Human-centric perception plays a vital role in vision and graphics. But ...
As real-scanned point clouds are mostly partial due to occlusions and
vi...
Learning to reconstruct 3D garments is important for dressing 3D human b...
In a point cloud sequence, 3D object tracking aims to predict the locati...
Point cloud registration for 3D objects is very challenging due to spars...
Deep learning-based 3D object detection has achieved unprecedented succe...
Most 3D shape completion approaches rely heavily on partial-complete sha...
Real-scanned point clouds are often incomplete due to viewpoint, occlusi...
Deep classifiers have achieved great success in visual recognition. Howe...
We present McAssoc, a deep learning approach to the as-sociation of dete...
We present an interesting and challenging dataset that features a large
...
Ever since the prevalent use of the LiDARs in autonomous driving, tremen...
Visual Servoing (VS), where images taken from a camera typically attache...
The conventional pose estimation of a 3D object usually requires the
kno...