5 citations · 10 across the 7 of their papers we have counts for
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cs.CV2021★ 2 cited
Segmentation-Reconstruction-Guided Facial Image De-occlusion
Xiangnan Yin, Di Huang, Zehua Fu +2
Occlusions are very common in face images in the wild, leading to the degraded performance of face-related tasks. Although much effort has been devoted to removing occlusions from…
cs.CV2021★ 2 cited
Weakly-Supervised Photo-realistic Texture Generation for 3D Face Reconstruction
Xiangnan Yin, Di Huang, Zehua Fu +2
Although much progress has been made recently in 3D face reconstruction, most previous work has been devoted to predicting accurate and fine-grained 3D shapes. In contrast, relativ…
cs.CV2021★ 1 cited
Pixel Sampling for Style Preserving Face Pose Editing
Xiangnan Yin, Di Huang, Hongyu Yang +3
The existing auto-encoder based face pose editing methods primarily focus on modeling the identity preserving ability during pose synthesis, but are less able to preserve the image…