Xiling Digitaalinen ihmisalusta by Baidu AI Cloud

Xiling Digitaalinen ihmisalusta by Baidu AI Cloud is a highly esteemed winner of the very prestigious 2023 Hopeapalkinto A' Design Award in Käyttöliittymämuotoilu Competition Category.

HopeaKäyttöliittymät· 2023

Xiling Digitaalinen ihmisalusta

by Baidu AI Cloud

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

Hopeapalkinto A' Design Award Winner in Käyttöliittymät Category

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The Design

About Xiling Digitaalinen ihmisalusta

Xiling on digitaalisten ihmisten tuotanto- ja operointialusta, joka yhdistää yritykset kuluttajiin. Käyttäjät luovat realistisia digitaalisia ihmisiä valokuvista, avainsanoista ja parametrisäädöistä. Suoratoistoa tuetaan kahdella tavalla: tekoälyn ohjaamana tai ihmisen ohjaamana, jolloin yksi kamera tallentaa liikkeet ja kasvojen ilmeet. Videot tuotetaan syöttämällä digitaalisen ihmisen komentoja epälineaariseen editoriin. Kokemusstandardit on määritelty ihmisille, toiminnoille ja näkymille, joten digitaalisen ihmisen sisältöä tuotetaan edullisesti ja lyhyessä ajassa.

The Recognition

About the Hopeapalkinto A' Design Award

Xiling Digitaalinen ihmisalusta on Hopeapalkinnon A' Design Award -voittaja, äärimmäisen arvostettu tunnustus, joka myönnetään huippuluokan, upeille ja vaikuttaville designeille. Hopeavoittajat ovat äärimmäisen loistavia ja erittäin luovia teoksia, jotka havainnollistavat suunnittelijoidensa erinomaista asiantuntemusta, lahjakkuutta ja terävyyttä. Xiling Digitaalinen ihmisalusta:n odotetaan olevan ihana, esimerkillinen teos, joka on huomattavan ammattimainen ja syvästi innovatiivinen. Tämä Hopeapalkinnon A' Design Award -voittajadesign on erittäin merkittävä, ihailtu keksintö, joka hyödyttää taiteen, tieteen, designin ja teknologian rajojen laajentamista. Xiling Digitaalinen ihmisalusta on laajalti kadehdittu luomus, joka herättää haluja, tuo myönteisiä tunteita ja sytyttää hämmästystä ja ihmetystä.

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