3D Meshes

Polygonal meshes are widely used in computer graphics, robotics, and game development to represent virtual objects and scenes. Exisitng learning-based methods for 3D object generation have relied on template models and parametric shape families. Progress with deep learning based approaches has also been limited because meshes are challenging to work with for deep networks, and therefore recent works have instead used alternative representations of object shape, such as voxels, point clouds, occupancy functions, and surfaces. These works, however, leave mesh reconstruction as a post-processing step, leading to inconsistent mesh quality. Drawing inspiration from the success of previous neural autoregressive models applied to sequential raw data (e.g., images, text, and raw audio waveforms) and building upon previously proposed components (e.g., Transformers and pointer networks), this paper presents PolyGen, a neural autoregressive generative model for generating 3D meshes. ...