3 papers
cs.GR2026
MoGeFlow: Flowing Through Motion Codebook Geometry for Text-to-Motion Generation
Pengcheng Fang, Tengjiao Sun, Xiaoyu Zhan +2
Vector-quantized motion tokenizers provide a compact discrete interface for text-to-motion generation, but most motion-code priors treat code indices as unordered categorical label…
cs.CV2025
MOGO: Residual Quantized Hierarchical Causal Transformer for High-Quality and Real-Time 3D Human Motion Generation
Dongjie Fu, Tengjiao Sun, Pengcheng Fang +2
Recent advances in transformer-based text-to-motion generation have led to impressive progress in synthesizing high-quality human motion. Nevertheless, jointly achieving high fidel…
cs.CV2024
Mogo: RQ Hierarchical Causal Transformer for High-Quality 3D Human Motion Generation
Dongjie Fu
In the field of text-to-motion generation, Bert-type Masked Models (MoMask, MMM) currently produce higher-quality outputs compared to GPT-type autoregressive models (T2M-GPT). Howe…