4 citations · 9 across the 15 of their papers we have counts for
4 papers · 1 filter
T2M-X: Learning Expressive Text-to-Motion Generation from Partially Annotated Data
Mingdian Liu, Yilin Liu, Gurunandan Krishnan +2
The generation of humanoid animation from text prompts can profoundly impact animation production and AR/VR experiences. However, existing methods only generate body motion data, e…
Generating 3D House Wireframes with Semantics
Xueqi Ma, Yilin Liu, Wenjun Zhou +2
We present a new approach for generating 3D house wireframes with semantic enrichment using an autoregressive model. Unlike conventional generative models that independently proces…
Split-and-Fit: Learning B-Reps via Structure-Aware Voronoi Partitioning
Yilin Liu, Jiale Chen, Shanshan Pan +3
We introduce a novel method for acquiring boundary representations (B-Reps) of 3D CAD models which involves a two-step process: it first applies a spatial partitioning, referred to…
CSANet: Channel Spatial Attention Network for Robust 3D Face Alignment and Reconstruction
Yilin Liu, Xuezhou Guo, Xinqi Wang +1
Our project proposes an end-to-end 3D face alignment and reconstruction network. The backbone of our model is built by Bottle-Neck structure via Depth-wise Separable Convolution. W…