no code implementations • ICLR 2019 • Zeyuan Chen, Shaoliang Nie, Tianfu Wu, Christopher G. Healey
Face completion is a challenging task with the difficulty level increasing significantly with respect to high resolution, the complexity of "holes" and the controllable attributes of filled-in fragments.
no code implementations • 9 Oct 2023 • Sengjie Liu, Christopher G. Healey
This paper proposes a method of abstractive summarization designed to scale to document collections instead of individual documents.
no code implementations • 25 Sep 2019 • Zeyuan Chen, Shaoliang Nie, Tianfu Wu, Christopher G. Healey
The proposed frequency-oriented attentive module (FOAM) encourages GANs to attend to only finer details in the coarse-to-fine progressive training, thus enabling progressive attention to face structures.
no code implementations • 23 Jan 2018 • Zeyuan Chen, Shaoliang Nie, Tianfu Wu, Christopher G. Healey
It is a challenging task with the difficulty level increasing significantly with respect to high resolution, the complexity of "holes" and the controllable attributes of filled-in fragments.