Text2Human: text-driven controllable human image generation

• Main Authors: Jiang, Yuming, Yang, Shuai, Qju, Haonan, Wu, Wayne, Loy, Chen Change, Liu, Ziwei
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Text-Driven Generation; Image Generation
• Online Access: https://hdl.handle.net/10356/163319
• Institution: Nanyang Technological University

Generating high-quality and diverse human images is an important yet challenging task in vision and graphics. However, existing generative models often fall short under the high diversity of clothing shapes and textures. Furthermore, the generation process is even desired to be intuitively controlla...