학술논문
Stochastic human motion prediction using a quantized conditional diffusion model
Document Type
Article
Author
Source
In Knowledge-Based Systems 30 January 2025 309
Subject
Language
ISSN
0950-7051
Abstract
Highlights •Combines motion quantization with conditional diffusion model for motion prediction.•Utilizes GCNs and temporal convolutions for efficient motion feature extraction.•Integrates action category info for controllable, diverse motion generation.•Implements diversity enhancement to reduce similarity in prediction samples.