74 citations · 160 across the 6 of their papers we have counts for
6 papers
A Deep Emulator for Secondary Motion of 3D Characters
Mianlun Zheng, Yi Zhou, Duygu Ceylan +1
Fast and light-weight methods for animating 3D characters are desirable in various applications such as computer games. We present a learning-based approach to enhance skinning-bas…
Learning to Generate Diverse Dance Motions with Transformer
Jiaman Li, Yihang Yin, Hang Chu +4
With the ongoing pandemic, virtual concerts and live events using digitized performances of musicians are getting traction on massive multiplayer online worlds. However, well chore…
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels
Yi Zhou, Chenglei Wu, Zimo Li +5
Learning latent representations of registered meshes is useful for many 3D tasks. Techniques have recently shifted to neural mesh autoencoders. Although they demonstrate higher pre…
Generative Tweening: Long-term Inbetweening of 3D Human Motions
Yi Zhou, Jingwan Lu, Connelly Barnes +3
The ability to generate complex and realistic human body animations at scale, while following specific artistic constraints, has been a fundamental goal for the game and animation…
HairNet: Single-View Hair Reconstruction using Convolutional Neural Networks
Yi Zhou, Liwen Hu, Jun Xing +4
We introduce a deep learning-based method to generate full 3D hair geometry from an unconstrained image. Our method can recover local strand details and has real-time performance.…
Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis
Zimo Li, Yi Zhou, Shuangjiu Xiao +3
We present a real-time method for synthesizing highly complex human motions using a novel training regime we call the auto-conditioned Recurrent Neural Network (acRNN). Recently, r…