most citedHigh Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks

30 citations · 31 across the 2 of their papers we have counts for

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cs.CV2018★ 30 cited

High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks

Zeyuan Chen, Shaoliang Nie, Tianfu Wu +1

We present a deep learning approach for high resolution face completion with multiple controllable attributes (e.g., male and smiling) under arbitrary masks. Face completion entail…