AUPOD: End-to-End Automatic Poster Design by Self-Supervision

AUPOD: End-to-End Automatic Poster Design by Self-Supervision

The automatic design has become a popular topic in the application field of computer vision technologies. Previous methods for automatic design are mostly saliency-based, relying on an off-the-shelf model for saliency map detection and hand-crafted aesthetic rules for ranking on multiple proposals....

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Bibliographic Details
Main Authors: Dongjin Huang, Jinyao Li, Chuanman Liu, Jinhua Liu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Design automation
design aesthetic
artificial intelligence
neural networks
machine learning
Online Access:https://ieeexplore.ieee.org/document/9764746/

Internet

https://ieeexplore.ieee.org/document/9764746/

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