Author

Xiu-Chao Wu

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Preprint Sep 2026

TaoTex: Boosting Texture Detail Fidelity for Native 3D Material Generation

Recent 3D generation models can produce accurate geometries while still struggling to reconstruct detailed textures. We propose a diffusion-based native 3D material generation model TaoTex, which faithfully recovers intricate textures through tailored strategies and improvements. First, we develop a data construction a...

Xiu-Chao Wu, Shui-Chang Lai, Jiangjing Lyu et al. · 0 citations

Preprint Sep 2026

TaoFlowForge: Progressive Native Mesh Generation via Cascaded Flow Matching

3D content generation technology has significantly advanced the work of designers, as well as the 3D printing and gaming industries. However, it remains difficult to produce lightweight, editable, and topologically clean artistic content that is directly production-ready. To achieve this, we present TaoFlowForge, an ar...

Xian-Ze Fang, Qi-Yuan Feng, Dongfang Sun et al. · 0 citations

Preprint Sep 2026

FILIGREE3D: Scaling Sparse Latent Flow Matching for Ultra-High-Resolution Image-to-3D Generation

Scaling image-to-3D generation to ultra-high resolutions requires controlling rapidly growing computational costs without sacrificing fine geometric detail. We present \textbf{Filigree3D}, a sparse latent flow-matching framework that generates 3D geometry from a single image at voxel resolutions up to $2048^3$, with st...

Hong-Ji Li, Xin-Ran Yang, Xiu-Chao Wu et al. · 0 citations