The realm of textiles spans clothing, households, healthcare, sports, and industrial
applications. The deformable nature of these objects poses unique challenges that prior …

Garment manipulation (eg unfolding folding and hanging clothes) is essential for future
robots to accomplish home-assistant tasks while highly challenging due to the diversity of …

In recent years there has been a significant shift in the field of digital avatar research towards
modeling animating and reconstructing clothed human representations as a key step …

Generative Artificial Intelligence (GenAI) has recently gained immense popularity by offering
various applications for generating high-quality and aesthetically pleasing content of image …

Recent research interest in learning-based processing of garments, from virtual fitting to
generation and reconstruction, stumbles on a scarcity of high-quality public data in the …

To substantially enhance robot intelligence, there is a pressing need to develop a large
model that enables general-purpose robots to proficiently undertake a broad spectrum of …

Realizing scaling laws in embodied AI has become a focus. However, previous work has
been scattered across diverse simulation platforms, with assets and models lacking unified …

Detecting 3D keypoints with semantic consistency is widely used in many scenarios such as
pose estimation, shape registration and robotics. Currently, most unsupervised 3D keypoint …

Unsupervised 3D keypoints estimation from Point Cloud Data (PCD) is a complex task, even
more challenging when an object shape is deforming. As keypoints should be semantically …

Manipulating garments and fabrics has long been a critical endeavor in the advancement of
home-assistant robots, serving as a focal point for researchers in the fields of vision and …