In this work, we focus on synthesizing high-fidelity novel view images f...
Accurately manipulating articulated objects is a challenging yet importa...
In this report, we focus on reconstructing clothed humans in the canonic...
Recent work on 3D-aware image synthesis has achieved compelling results ...
We propose united implicit functions (UNIF), a part-based method for clo...
The ability to make educated predictions about their surroundings, and
a...
Dense human pose estimation is the problem of learning dense corresponde...
Not until recently, robust robot locomotion has been achieved by deep
re...
In this paper, we introduce an event-driven trading strategy that predic...
Due to the ubiquity of smartphones, it is popular to take photos of one'...
Image-to-image (I2I) translation is a pixel-level mapping that requires ...
We address the problem of un-supervised geometric image-to-image transla...
Image-to-image translation task has become a popular topic recently. Mos...
Generating novel, yet realistic, images of persons is a challenging task...
As more and more personal photos are shared online, being able to obfusc...
This paper proposes the novel Pose Guided Person Generation Network (PG^...
Shadows often create unwanted artifacts in photographs, and removing the...