Xiling Jukwaa la Binadamu Dijitali by Baidu AI Cloud

Xiling Jukwaa la Binadamu Dijitali by Baidu AI Cloud is a highly esteemed winner of the very prestigious 2023 Tuzo ya Fedha ya A' Design Award in Usanifu wa Kiolesura, Mwingiliano na Uzoefu wa Mtumiaji Competition Category.

FedhaKiolesura· 2023

Xiling Jukwaa la Binadamu Dijitali

by Baidu AI Cloud

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

Tuzo ya Fedha ya A' Design Award Winner in Kiolesura Category

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Colors

The Design

About Xiling Jukwaa la Binadamu Dijitali

Xiling ni jukwaa la utengenezaji na uendeshaji wa binadamu dijitali linalounganisha makampuni na watumiaji. Watumiaji huunda binadamu dijitali wanaofanana na halisi kutokana na picha, maneno muhimu na marekebisho ya vigezo. Utangazaji wa moja kwa moja unawezeshwa kwa njia mbili, ukiendeshwa na akili bandia au kuendeshwa na mtu, ambapo kamera moja hunasa mienendo na sura za uso. Video hutengenezwa kwa kuingiza amri za binadamu dijitali katika kihariri kisicho cha mfuatano. Viwango vya uzoefu vimefafanuliwa kwa watu, shughuli na mandhari, hivyo maudhui ya binadamu dijitali hutengenezwa kwa gharama nafuu na kwa muda mfupi.

The Recognition

About the Tuzo ya Fedha ya A' Design Award

Xiling Jukwaa la Binadamu Dijitali ni mshindi wa Tuzo ya Fedha ya A' Design Award, utambuzi wenye heshima kubwa ya ajabu unaotolewa kwa miundo ya hali ya juu kabisa, ya kupendeza na ya kuvutia. Washindi wa Fedha ni kazi zinazong'aa mno na bunifu kupita kiasi zinazoonyesha utaalamu bora, kipaji na busara ya wabunifu wao. Xiling Jukwaa la Binadamu Dijitali inatarajiwa kuwa kazi nzuri ya kuigwa ambayo ni ya kitaalamu kwa kiasi kikubwa na yenye ubunifu wa kina. Muundo huu ulioshinda Tuzo ya Fedha ya A' Design Award ni uvumbuzi unaojulikana sana na kupendwa, unaonufaisha na kupanua mipaka ya sanaa, sayansi, usanifu na teknolojia. Xiling Jukwaa la Binadamu Dijitali ni kazi inayotamaniwa mno inayochochea hamu, huleta hisia chanya na huzua mshangao na mastaajabu.

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