Paper Index
Search computational fabrication papers, source venues, authors, implementations, and code availability from the GEOMDIGEST knowledge graph.
We introduce a general, scalable computational framework for multi-axis 3D printing based on implicit neural fields (INFs) that unifies all stages of tool-path generation and global collision-free motion planning. In our pipeline, input models are represented ...
We present a framework to generate past and future processes for drawing process videos. Given a canvas image uploaded by a user, the framework can generate both preceding and succeeding states of the drawing process, and the generated states can be reused as ...
Support structure generation is a critical requirement in additive manufacturing (AM) to prevent material collapse in overhanging regions. However, it increases print time, material waste, and overall production cost, especially in extrusion-based AM. To mitig...
Point clouds and polygonal meshes are widely used when modeling real-world scenarios. Here, point clouds arise, for instance, from acquisition processes applied in various surroundings, such as reverse engineering, rapid prototyping, or cultural preservation. ...
In recent years, reconstruction methods have been developed that can recover strand-level hair geometry from images. However, these methods recover a vast number of individual hair strands that are difficult to edit and simulate. Many methods also rely on neur...
To solve the optimal transport problem between two uniform discrete measures of the same size, one seeks a bijective assignment that minimizes some matching cost. For this task, exact algorithms are intractable for large problems, while approximate ones may lo...
We describe a first method for the generation of higher-order triangle meshes in 2D with the following properties: Polynomial as well as rational elements of arbitrary order are supported, the resulting mesh is guaranteed to conform to the curved domain bounda...
The rapid evolution of 3D content creation, encompassing both AI-powered methods and traditional workflows, is driving an unprecedented demand for automated rigging solutions that can keep pace with the increasing complexity and diversity of 3D models. We intr...