Researchers have achieved great success in dealing with 2D images using deep learning.
In recent years, 3D computer vision and geometry deep learning have gained ever more …

We introduce SDM-NET, a deep generative neural network which produces structured
deformable meshes. Specifically, the network is trained to generate a spatial arrangement of …

In recent years, with the development of deep learning, image color rendering method has
become a research hotspot once again. To overcome the detail problems of color …

Scene understanding is one of the essential and challenging topics in computer vision and
photogrammetry. Scene graph provides valuable information for such scene understanding …

We propose a novel example-based approach to synthesize scenes with complex relations,
eg, when one object is' hooked','surrounded','contained'or'tucked into'another object …

Wire electric discharge machining (wire EDM) is a non-traditional material removal method
that is commonly used in additive manufacturing (AM) applications to efficiently remove AM …

The spatial orientation of an object on a 3D printing plate is a significant contributor to its
printing time. Thus, the speed of the 3D printing processes can generally be increased by …

Assembly-based furniture with movable parts enables shape and structure reconfiguration,
thus supporting multiple functions. Although a few attempts have been made for facilitating …

We introduce a shape synthesis approach especially for functional hybrid creation that can
be potentially used by a human operator under a certain pose. Shape synthesis by reusing …

In our daily life, cluttered objects are everywhere, from scattered stationery and books
cluttering the table to bowls and plates filling the kitchen sink. Retrieving a target object from …