![]() Each category is worth 20 points with a perfect score of 100. ![]() They will be scored by the judges in 5 categories: Performance, Technique, Choreography, Creativity & Presentation. In each round of the Qualifiers, the dance acts will perform a 2-minute routine in front of the judges and a live audience. ^2 MiniRequest, Kings Unite & Rhythmatic were the only groups not to have a full performance featured during their time on the show. Therefore, these acts do not have a determined average score. ^1 Despite their Qualifier performance not being shown, this act's hometown and dance style were made available on the World of Dance website. Team (18 and over, 5–15 members) Dance act Upper (18 and over, up to 4 members) Dance act Fourteen-year-old contemporary dancer Eva Igo and Latin/Swing group Swing Latino were named first runner-up and second runner-up respectively.ĭancers Junior (under 18) Dance act Hip hop dancers Les Twins, from Paris, France, were crowned as the winners of the $1,000,000 prize on August 8, 2017. Jennifer Lopez, Ne-Yo, and Derek Hough served as the judges, with Jenna Dewan serving as host. scientists, data scientists, musicologists, choreographers, Buddhist scholars, architects, and digital artists in a joint effort to bring the ancient Buddhist dance culture to life.The first season of American reality dance competition World of Dance premiered May 30, 2017, on NBC. ![]() ![]() The exhibition not only immerses the audiences in a dynamic world of Dunhuang dance, but also leads them into the deeper cultural dimension of Buddhist dance-where audiences are invited to contemplate the themes of body, life, and spiritual transcendence embodied by the celestial dance in the cave.īorn from the largest project team at CAMLab, Cave Dance brings together art historians, A.I. ![]() Through this process, Cave Dance breathes new life into static dance paintings and translates ancient texts it presents a contemporary reconstruction-and imagination-of these ancient dances.įlowering from the diverse body of research of this interdisciplinary project, Cave Dance manifests as a set of digital installations that elucidate the multifold culture of dance in Buddhist cave shrines. Data from static mural drawings and motion capture of professional dancers were used to train a machine-learning model, which generated a human-computer collaborative choreography of animated movement sequences. ![]()
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