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

Peeking Behind Objects: Layered Depth Prediction from a Single Image

Here’s a nice approach to depth estimation which combines in-painting to allow simulation of slight camera moves from just a single image. While conventional depth estimation can infer the geometry of a scene from a single RGB image, it fails to estimate scene regions that are occluded by foreground objects. This limits the use of…Read More