Filters are fundamental in extracting information from data. For time series and image data
that reside on Euclidean domains, filters are the crux of many signal processing and …

Human pose transfer, a challenging image generation task, aims to transfer a source image
from one pose to another. Existing methods often struggle to preserve details in visible …

The goal of the paper is to examine how convolutional neural network (CNN) is used in the
immersive world of digital media art. In order to do this, this paper first explains digital media …

In online clothing sales, static model images only describe specific clothing statuses towards
consumers. Without increasing shooting costs, it is a subject to display clothing dynamically …

Human motion transfer aims at animating a static source image with a driving video. While
recent advances in one-shot human motion transfer have led to significant improvement in …

We present a novel method for transferring human actions from a source to a target video
with improved human motion smoothness and better image quality. Unlike the previous …

Image and video based human motions can be regarded as the deformation processes of
person appearances, so motion transfer is usually treated as a pose guided image …

Pose Guided Person Image Generation (PGPIG) is a task that involves generating an image
of a person in a target pose, given an image in a source pose, source pose information and …

Human pose transfer has received considerable of academic attention because of its
numerous uses in movie production, computer-graphics-based manipulations or data …