https://xuchen-ethz.github.io/gdna Figure 1. Generative Detailed Neural Avatars. We propose a method to generate 1) a diverse set of 3D virtual humans of 2) varied identity, gender and shapes, appearing in 3) different clothing styles and poses, with 4) realistic and stochastic details such as wrinkles in garments. Our multi-subject method learns shape, articulation and clothing details from few posed scans without requiring skinning weight supervision. The method is able to synthesize novel identities that are not in the training set and generalizes to unseen poses.

https://xuchen-ethz.github.io/gdna Figure 1. Generative Detailed Neural Avatars. We propose a method to generate 1) a diverse set of 3D virtual humans of 2) varied identity, gender and shapes, appearing in 3) different clothing styles and poses, with 4) realistic and stochastic details such as wrinkles in garments. Our multi-subject method learns shape, articulation and clothing details from few posed scans without requiring skinning weight supervision. The method is able to synthesize novel identities that are not in the training set and generalizes to unseen poses.