Back to search

Article

Step Network: A Neural Network that Takes Into Account Spatial Structure and Texture Features for Human Pose Transfer

2024-03-19

Abstract excerpt

<title>Abstract</title> <p>Portrait synthesis guided by pose presents a challenging frontier in image generation. In our latest research, we have introduced an innovative network called the Step network, specifically designed to overcome the limitations identified in previous works. Our approach differs from traditional methods by honing in on the spatial structure of the pose, enabling a gradual migration of the...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
ce0acf37-7d3b-5ac2-81e5-05f7d319f824
DOI
10.21203/rs.3.rs-3935900/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Step Network: A Neural Network that Takes Into Account Spatial Structure and Texture Features for Human Pose TransferDOI 10.21203/rs.3.rs-3935900/v1
Select a neighboring publication to make it the new centre.