FlippedNormals takes a look at future of CG art. Learn about some of the tools available today, as well as their predictions for the future.
Samuel Arzt shows off a project where an AI learns to park a car in a parking lot in a 3D physics simulation.
The simulation was implemented using Unity’s ML-Agents framework (https://unity3d.com/machine-learning).
From the video description:
The AI consists of a deep Neural Network with 3 hidden layers of 128 neurons each. It is trained with the Proximal Policy Optimization (PPO) algorithm, which is a Reinforcement Learning approach.
Two Minute Papers explores the paper “Fast Example-Based Stylization with Local Guidance” in this video.
Two Minute Papers takes a look at DeepMind’s recent paper on understanding 3D scenes. Watch the video to find out why this a big deal.
In this session from the Blender Conference 2018, learn how AI will change yet another industry.