Digests » 104

this week's favorite

RigNet: Neural Rigging for Articulated Characters

We present RigNet, an end-to-end automated method for producing animation rigs from input character models. Given an input 3D model representing an articulated character, RigNet predicts a skeleton that matches the animator expectations in joint placement and topology.

Illustrated Guide to LSTM's and GRU's: A step by step explanation

LSTM's and GRU's are widely used in state of the art deep learning models. For those just getting into machine learning and deep learning, this is a guide in plain English with helpful visuals to help you grok LSTM's and GRU's.

AR Cut & Paste

An AR+ML prototype that allows cutting elements from your surroundings and pasting them in an image editing software. Although only Photoshop is being handled currently, it may handle different outputs in the future.

Pose Animator

Pose Animator takes a 2D vector illustration and animates its containing curves in real-time based on the recognition result from PoseNet and FaceMesh. It borrows the idea of skeleton-based animation from computer graphics and applies it to vector characters.

How Deep Learning Accelerates Virtual Screening for Drug Discovery

It’s no secret that developing drugs is a difficult process. The cost of developing a new drug and bringing it to market is anywhere between $1.3 billion USD to nearly $2.9 billion USD depending on who you ask. Many of the low-hanging fruit are already picked, and the changing health landscape of modern society compounds the challenge. Our aging society is now more heavily affected by heart disease, dementia, and cancer than our progenitors were.