Semantic Scholar Open Access 2023 10 sitasi

A Review of Text-to-Animation Systems

N. Bouali V. Cavalli-Sforza

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Abstrak

Text-to-graphics systems encompass three types of tools: text-to-picture, text-to-scene and text-to-animation. They are an artificial intelligence application wherein users can create 2D and 3D scenes or animations and recently immersive environments from natural language. These complex tasks require the collaboration of various fields, such as natural language processing, computational linguistics and computer graphics. Text-to-animation systems have received more interest than their counterparts, and have been developed for various domains, including theatrical pre-production, education or training. In this survey we focus on text-to-animation systems, discussing their requirements, challenges and proposing solutions, and investigate the natural language understanding approaches adopted in previous research works to solve the challenge of animation generation. We review text-to-animation systems developed over the period 2001-2021, and investigate their recent trends in order to paint the current landscape of the field.

Topik & Kata Kunci

Computer Science

Penulis (2)

N. Bouali

V. Cavalli-Sforza

Format Sitasi

APA MLA BibTeX

Bouali, N., Cavalli-Sforza, V. (2023). A Review of Text-to-Animation Systems. https://doi.org/10.1109/ACCESS.2023.3304903

Akses Cepat

Lihat di Sumber doi.org/10.1109/ACCESS.2023.3304903

Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Total Sitasi: 10×
Sumber Database: Semantic Scholar
DOI: 10.1109/ACCESS.2023.3304903
Akses: Open Access ✓