Ara
Toplam kayıt 2, listelenen: 1-2
Manipulating attributes of natural scenes via hallucination
(Association for Computing Machinery, 2019)
In this study, we explore building a two-stage framework for enabling users to directly manipulate high-level attributes of a natural scene. The key to our approach is a deep generative network that can hallucinate images ...
Trainable Self-Guided Filter for Multi-Focus Image Fusion
(Institute of Electrical and Electronics Engineers Inc., 2023)
Cameras are limited in their ability to capture all-in-focus images due to their limited depth of field. This results in blurriness for objects too far in front of or behind the focused point. To overcome this limitation, ...