5 citations · 5 across the 1 of their papers we have counts for
2 papers
cs.LG2017★ 5 cited
Hybrid VAE: Improving Deep Generative Models using Partial Observations
Sergey Tulyakov, Andrew Fitzgibbon, Sebastian Nowozin
Deep neural network models trained on large labeled datasets are the state-of-the-art in a large variety of computer vision tasks. In many applications, however, labeled data is ex…
cs.CV2017
MoCoGAN: Decomposing Motion and Content for Video Generation
Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang +1
Visual signals in a video can be divided into content and motion. While content specifies which objects are in the video, motion describes their dynamics. Based on this prior, we p…