Climaxing VR Character with Scene-Aware Aesthetic Dress Synthesis

Sifan Hou¹    Yujia Wang¹    Wei Liang¹    Bing Ning²

¹Beijing Institute of Technology    ²Beijing Institute of Fashion Technology   

Abstract

Like real humans, virtual characters also need to dress up according to different application scenarios so that the virtual character appears professionally, harmoniously, and naturally. However, manual selection is tedious, and the appearances of virtual characters usually lack variety.

In this paper, we propose a new problem of synthesizing appropriate dress for a virtual character based on the scenario analysis where he/she shows up. We come up with a pipeline to tackle the scenario-aware dress synthesis problem. Firstly, given a scene, our approach predicts a dress code from the extracted high-level information in the scene, consisting of season, occasion, and scene category. Then our approach tunes the dress details to fit the aesthetic criteria and the virtual character's attributes. An optimization of a cost function implements the tuning process. We carried out experiments to validate the efficacy of the proposed approach. The perceptual study results show the good performance of our approach.

Keywords

Digital Fashion, Visualization Design and Evaluation Methods, Fashion Outfit Generation.

Publication

Climaxing VR Character with Scene-Aware Aesthetic Dress Synthesis
Sifan Hou, Yujia Wang, Wei Liang Bing Ning,
IEEE Virtual Reality Conference (IEEE VR 2021)
Paper , Video , Dataset (Coming Soon)

BibTex

@inproceedings{ds2021hou,
    title= {Climaxing VR Character with Scene-Aware Aesthetic Dress Synthesis},
    author = {How, Sifan and Wang, Yujia and Ling, Wei and Ning, Bing},
    booktitle={IEEE Virtual Reality},
    year = {2021} }

• 媒体计算与智能系统实验室


• Media Computing and Intelligent Systems Lab

Beijing Institute of Technology Copyright Address: 5 South Zhongguancun

Street, Haidian District, Beijing Postcode: 100081