InTeX: Interactive Text-to-texture Synthesis via Unified Depth-aware
  Inpainting
Jiaxiang Tang Ruijie Lu Xiaokang Chen Xiang Wen Gang Zeng Ziwei Liu
Text-to-texture synthesis has become a new frontier in 3D content creation
thanks to the recent advances in text-to-image models. Existing methods
primarily adopt a combination of pretrained depth-aware diffusion and
inpainting models, yet they exhibit shortcomings such as 3D inconsistency and
limited controllability. To address these challenges, we introduce InteX, a
novel framework for interactive text-to-texture synthesis. 1) InteX includes a
user-friendly interface that facilitates interaction and control throughout the
synthesis process, enabling region-specific repainting and precise texture
editing. 2) Additionally, we develop a unified depth-aware inpainting model
that integrates depth information with inpainting cues, effectively mitigating
3D inconsistencies and improving generation speed. Through extensive
experiments, our framework has proven to be both practical and effective in
text-to-texture synthesis, paving the way for high-quality 3D content creation.