67 citations · 75 across the 2 of their papers we have counts for
2 papers
cs.CV2020★ 8 cited
One-Shot Identity-Preserving Portrait Reenactment
Sitao Xiang, Yuming Gu, Pengda Xiang +4
We present a deep learning-based framework for portrait reenactment from a single picture of a target (one-shot) and a video of a driving subject. Existing facial reenactment metho…
stat.ML2017★ 67 cited
On the Effects of Batch and Weight Normalization in Generative Adversarial Networks
Sitao Xiang, Hao Li
Generative adversarial networks (GANs) are highly effective unsupervised learning frameworks that can generate very sharp data, even for data such as images with complex, highly mu…