Back to search

Article

Improving Text-Speech Driven 3D Human Motion Synthesis via 2D Data Augmentation and CLaM-Based Standardized Evaluation

2025-11-17

Abstract excerpt

Text-speech guided 3D human motion synthesis has long faced two critical bottlenecks: inconsistent evaluation metrics that hinder reliable cross-method comparison, and the scarcity of high-quality 3D motion capture (MoCap) data that restricts model generalization. This study addresses both issues through an integrated framework. On the data side, it leverages abundant 2D motion data (building on the Motion-2-to-3...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
34387fd9-33b2-58a3-9e26-688f536e37e2
DOI
10.22541/au.176340983.34994517/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Improving Text-Speech Driven 3D Human Motion Synthesis via 2D Data Augmentation and CLaM-Based Standardized EvaluationDOI 10.22541/au.176340983.34994517/v1
Select a neighboring publication to make it the new centre.