Human Motion Modeling using DVGANs

We present a novel generative model for human motion modeling using Generative Adversarial Networks (GANs). We formulate the GAN discriminator using dense validation at each time-scale and perturb the discriminator input to make it translation invariant. Our model is capable of motion generation and completion. We show through our evaluations the resiliency to noise, generalization…Read More


It’s always fun to see machine learning challenges posed as well as the competing solutions, but even more so when they’re relevant to VFX. PoseTrack is a new large-scale benchmark for human pose estimation and tracking in video. We provide a publicly available training and validation set as well as an evaluation server for benchmarking…Read More