Does Native 3D Texture Generation Necessarily Require 3D Assets for Training?
cs.CV
Submitted: 2026-09-28
Updated: 2026-09-28
Code: https://github.com/wangjiangshan0725/Tex-Zero
Terminology
Sources
- Text2Tex: Text-driven Texture Synthesis via Diffusion Models
- BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset
- MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D
- VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models
- Hitem3D 2.0: Multi-View Guided Native 3D Texture Generation
- MaterialMVP: Illumination-Invariant Material Generation via Multi-view PBR Diffusion
- TexGen: Text-Guided 3D Texture Generation with Multi-view Sampling and Resampling
- Segment Anything
- NaTex: Seamless Texture Generation as Latent Color Diffusion
- UniTEX: Universal High Fidelity Generative Texturing for 3D Shapes
- Flow Matching for Generative Modeling
- Text-Guided Texturing by Synchronized Multi-View Diffusion
- TEXTure: Text-Guided Texturing of 3D Shapes
- Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material
- Qwen-Image Technical Report
- Native and Compact Structured Latents for 3D Generation
- Structured 3D Latents for Scalable and Versatile 3D Generation
- LRM-Zero: Training Large Reconstruction Models with Synthesized Data
- TexGaussian: Generating High-quality PBR Material via Octree-based 3D Gaussian Splatting
- TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion
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