Author

Ju Dai

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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. · 0 citations

Jul 2026

Mask-aware tri-modal learning for indoor 3D object detection

A mask-aware tri-modal framework that improves the quality of superpoint representations by retrieving a scene-level structural context from a pretrained PointSAM encoder to enhance object-centric evidence and predicting a soft mask weight to suppress unreliable superpoints.

Feng Zhou, Hui Wang, Kaida Ning et al. · The Visual Computer · 0 citations