"It is a weekly hour-long webseries showcasing geometry processing research, including a 10-min opener speaker and a 50-min headliner in the style of live comedy!"

We introduce COALESCE, the first data-driven framework for component-based shape assembly which employs deep learning to synthesize part connections. To handle geometric and topological mismatches between parts, we remove the mismatched portions via erosion, and rely on a joint synthesis step, which is learned from data, to fill the gap and arrive at a natural part joint. Given a set of input parts extracted from different objects, COALESCE automatically aligns them and synthesizes plausible joints to connect the parts into a coherent 3D object represented by a mesh. The joint synthesis network, designed to focus on joint regions, reconstructs the surface between the parts by predicting an implicit shape representation that agrees with existing parts, while generating a smooth and topologically meaningful connection.

There is much be done. We expect it will take at least 6 months until this work is part of an official Blender release.

Oculus is beginning to roll out redesigned avatars that are more expressive and customizable than those that launched in 2016.