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

arXiv:2609.34934 · cs.CV · Submitted 2026-09-28 · Read on arXiv

cs.CV

Submitted: 2026-09-28

Updated: 2026-09-28

Terminology

• Embeddings — 20× in this paper · explained in 2 episodes
• Fidelity — 15× in this paper · explained in 2 episodes
• Diffusion Model — 8× in this paper · explained in 8 episodes
• Conference on Computer Vision and Pattern Recognition — 6× in this paper
• Diffusion Models — 6× in this paper · explained in 6 episodes
• Latent Space — 5× in this paper · explained in 7 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Consistency — 3× in this paper · explained in 3 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Accuracy — 2× in this paper · explained in 1 episode
• Distillation — 2× in this paper · explained in 2 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Image Generation Model — 2× in this paper
• Reconstruction Error — 2× in this paper · explained in 2 episodes
• Unified Framework — 2× in this paper · explained in 5 episodes
• Abundance — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Decoupling — 1× in this paper · explained in 2 episodes
• Flow Matching — 1× in this paper · explained in 8 episodes
• Frechet Inception Distance — 1× in this paper
• Generative Models — 1× in this paper · explained in 2 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Learned Perceptual Image Patch Similarity — 1× in this paper
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Structural Similarity Index Measure — 1× in this paper
• Two-Stage Training Strategy — 1× in this paper · explained in 3 episodes
• Two-stage training — 1× in this paper · explained in 2 episodes

Sources

• Meta 3D TextureGen: Fast and Consistent Texture Generation for 3D Objects
• Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models
• LRM: Large Reconstruction Model for Single Image to 3D
• Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material
• FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space
• Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention
• Decoupled Weight Decay Regularization
• DINOv2: Learning Robust Visual Features without Supervision
• DreamFusion: Text-to-3D using 2D Diffusion
• Progressive Distillation for Fast Sampling of Diffusion Models
• Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model
• Structured 3D Latents for Scalable and Versatile 3D Generation
• TexVerse: A Universe of 3D Objects with High-Resolution Textures

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