Preprint
Aug 2026
RAGMesh with FaME-G2E: Long-Form Text-Driven 3D Face Generation and Editing
This work proposes RAGMesh, a retrieval-augmented framework that leverages text-correlated geometric priors to improve high-fidelity facial synthesis and editing, and introduces Adaptive RAG-guided Supervision (AdaRAGS), a region-aware constraint that explicitly aligns textual semantics with corresponding facial regions, enhancing regional controllability and editing accuracy.
Hao Li, Ju Dai, Feng Zhou et al.
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