Xiling Digitaalse Inimese Platvorm by Baidu AI Cloud

Xiling Digitaalse Inimese Platvorm by Baidu AI Cloud is a highly esteemed winner of the very prestigious 2023 Hõbeauhind A' Design Award in Kasutajaliidese, interaktsiooni ja kasutajakogemuse disain Competition Category.

HõbeKasutajaliides· 2023

Xiling Digitaalse Inimese Platvorm

by Baidu AI Cloud

Client: Baidu Online Network Technology (Beijing) Co., Ltd

Hõbeauhind A' Design Award Winner in Kasutajaliides Category

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Verified Award Winner
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The Design

About Xiling Digitaalse Inimese Platvorm

Xiling on digitaalsete inimeste loomise ja haldamise platvorm, mis ühendab ettevõtteid tarbijatega. Kasutajad loovad realistlikke digitaalseid inimesi fotode, märksõnade ja parameetrite kohandamise abil. Otseülekandeid toetatakse kahel viisil: tehisintellekti juhituna või inimese juhituna, kus üks kaamera jäädvustab liigutusi ja näoilmeid. Videod luuakse, sisestades digitaalse inimese käsud mittelineaarsesse redaktorisse. Kogemusstandardid on määratletud inimeste, tegevuste ja stseenide jaoks, mistõttu valmib digitaalse inimese sisu madalate kuludega ja lühikese ajaga.

The Recognition

About the Hõbeauhind A' Design Award

Xiling Digitaalse Inimese Platvorm on Hõbeauhinna A' Design Award võitja, ülimalt prestiižikas tunnustus, mis antakse tipptasemel, suurepärastele ja muljetavaldavatele disainidele. Hõbevõitjad on ülimalt säravad ja erakordselt loovad tööd, mis illustreerivad oma disainerite silmapaistvat kogemust, annet ja teravmeelsust. Xiling Digitaalse Inimese Platvorm peaks olema imeline, eeskujulik töö, mis on märkimisväärselt professionaalne ja sügavalt uuenduslik. See Hõbeauhinna A' Design Award võidudisain on väga tähelepanuväärne, imetletud leiutis, mis toob kasu ning nihutab kunsti, teaduse, disaini ja tehnoloogia piire. Xiling Digitaalse Inimese Platvorm on laialdaselt kadestatud looming, mis äratab soove, tekitab positiivseid tundeid ning süütab hämmastust ja imestust.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: As a production and operation platform, this platform connects enterprises on one end and consumers on the other. By breaking down the people, services, and environment in the digital human service scenario, and gradually integrating experience design and AI technology, the platform has achieved the ability to create digital humans, conduct live streaming, and generate videos easily, at low cost, and in a short period of time. It also improves consumer experience of using digital human products.
Dimensions & Packaging: PC,web,computer,Artificial intelligence technology enables the creation, animation, and video generation of digital humans.
Tags: User experience, digital humans, artificial intelligence, live streaming
Production Technology: The platform allows users to quickly generate ultra-realistic digital humans using photos, keywords, and parameter adjustments. With the digital humans, users can carry out live streaming activities using either AI-driven or human-driven methods. Finally, users can also generate videos directly by inputting digital human-related commands into a non-linear editor, enabling quick deployment of digital humans.
Design Challenge: The biggest challenge is how to ensure that the Xiling Digital Human Live Streaming Platform is both efficient and user-friendly in producing content, while also being able to produce digital content that satisfies consumers. Based on this, we have broken down the digital human service scenario into atomic levels, defining experience standards and embedding AI capabilities at each level to ensure the quality of the digital human experience in core elements such as humans, activities, and scenes, thus achieving both good and fast results in digital human production.
Research: We conducted market research and user interviews and found that with the further development of the digital economy, people's demand for digital life has also increased. There is a growing contradiction between the needs of enterprises for digital humans and the high cost and long cycle of digital human creation. The emergence of this platform can help enterprises to quickly and efficiently provide content services of digital humans, and accelerate the global digitization process.
Inspiration: As digital humans have gradually entered people's daily lives from games and films, the current high-cost and long-cycle model of creating digital humans can no longer meet the needs of enterprises for using digital humans. Enterprises urgently need a low-cost and short-cycle way them could afford and use digital humans well. Therefore, leveraging its years of AI expertise, Baidu has developed this platform to accelerate the process of the digital era.
Project Duration: This project was launched in January 2022 in Beijing and made its first appearance in China in July 2022. It is still ongoing and the team members are based in Beijing, China.
Operation Flow: The platform allows users to quickly generate ultra-realistic digital humans using photos, keywords, and parameter adjustments. With the digital humans, users can carry out live streaming activities using either AI-driven or human-driven methods. AI-driven digital humans can interact with the audience through Q&A sessions. Human-driven live streaming can be achieved directly with a single camera for capturing movements and facial expressions to drive the digital human. Finally, users can also generate videos directly by inputting digital human-related commands into a non-linear editor, enabling quick deployment of digital humans.
Patents: CN202230461344.8.Baidu Online Network Technology (Beijing) Co., Ltd.2022,CN202230461334.4.Baidu Online Network Technology (Beijing) Co., Ltd.2022,CN202230460831.2.Baidu Online Network Technology (Beijing) Co., Ltd.2022,CN202230461301.X.Baidu Online Network Technology (Beijing) Co., Ltd.2022,CN202230484501.7.Baidu Online Network Technology (Beijing) Co., Ltd.2022
Team Members: Zhejia Zhang
Ningqian Ma
Wei Wang
Haoyuan Ma
Tingting Wang
Youping Yu
Qian Liu
Shiyan Li
Zhun Wu
Zhangyu Gu
Yutong Xiao
Jian Yang
Long Cang
Xin Guo
Lu Zhang