DirectUV: Image-Conditioned UV Texture Generation with Surface-Aware Positional Encoding

arXiv:2609.34651 · cs.CV · Submitted 2026-09-28 · Read on arXiv

cs.CV

Submitted: 2026-09-28

Updated: 2026-09-29

Code: https://github.com/black-forest-labs/flux

Terminology

• Transformer — 18× in this paper · explained in 2 episodes
• Surface-Aware Positional Encoding — 10× in this paper
• Diffusion Model — 9× in this paper · explained in 8 episodes
• Diffusion Models — 6× in this paper · explained in 6 episodes
• Fidelity — 6× in this paper · explained in 2 episodes
• Diffusion Process — 5× in this paper · explained in 2 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Latent Space — 4× in this paper · explained in 7 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Attention Mechanism — 3× in this paper · explained in 3 episodes
• Core — 3× in this paper · explained in 2 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Rectified Flow — 3× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Google Scanned Objects — 2× in this paper
• Latent Representation — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Canonical Coordinate Map — 1× in this paper
• Decoupling — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Flow Matching — 1× in this paper · explained in 8 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Multi-modal Inputs — 1× in this paper · explained in 2 episodes
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Tokenization — 1× in this paper · explained in 2 episodes

Sources

• Text2Tex: Text-driven Texture Synthesis via Diffusion Models
• FlexPainter: Flexible and Multi-View Consistent Texture Generation
• Im2SurfTex: Surface Texture Generation via Neural Backprojection of Multi-View Images
• UniTEX: Universal High Fidelity Generative Texturing for 3D Shapes
• Positional Encoding Field
• Advancing high-fidelity 3D and Texture Generation with 2.5D latents
• Text-Guided Texturing by Synchronized Multi-View Diffusion
• Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
• Objaverse-XL: A Universe of 10M+ 3D Objects
• PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding
• Demystifying MMD GANs

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