Fast and Robust Multiple ColorChecker Detection using Deep Convolutional Neural Networks

Of course it’s not all fluid simulations, high-resolution generative models, and real-time mocap. Sometimes you just need a good solution to a simple problem. ColorCheckers are reference standards that professional photographers and filmmakers use to ensure predictable results under every lighting condition. The objective of this work is to propose a new fast and robust…Read More

Production Deployment

You’ve carefully formulated and specified a target problem, collected and processed training data, picked a familiar framework (or learned a new one) and through a process of research, intuition, and luck chosen an initial network architecture to represent your problem. You’ve methodically run experiments and tuned hyperparameters, getting side-tracked along the way to write tools…Read More

From VFX project management to predictive forecasting

Identifying potential areas where machine learning can have a direct impact on visuals is especially easy, not least because there is so much focus currently on analysis and synthesis of image data. But there are opportunities to streamline many other aspects of the visual effects pipeline, allowing more efficient use of finite resources (such as…Read More