DiDE:Direct Injection with Color-Texture DEcoupling for 3D Stylization

arXiv:2610.02044 · cs.CV · Submitted 2026-10-01 · Read on arXiv

cs.CV

Submitted: 2026-10-01

Updated: 2026-10-06

Terminology

• Fidelity — 20× in this paper · explained in 2 episodes
• Consistency — 12× in this paper · explained in 3 episodes
• Diffusion Model — 11× in this paper · explained in 8 episodes
• Diffusion Models — 11× in this paper · explained in 6 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Decoupling — 8× in this paper · explained in 2 episodes
• Rectified Flow — 7× in this paper · explained in 3 episodes
• Generative Model — 6× in this paper · explained in 2 episodes
• Generative Models — 6× in this paper · explained in 2 episodes
• Transformer — 6× in this paper · explained in 2 episodes
• Foundation Model — 5× in this paper · explained in 3 episodes
• Latent Space — 5× in this paper · explained in 7 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Cosine Similarity — 4× in this paper · explained in 3 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Training-Free Framework — 4× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Gaussian Splatting — 3× in this paper · explained in 4 episodes
• Generative Modeling — 3× in this paper · explained in 3 episodes
• Latent Representation — 3× in this paper · explained in 2 episodes
• 3D Gaussian Splatting — 2× 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
• Core — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Latent Representations — 2× in this paper · explained in 3 episodes
• Personalization — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Actor — 1× in this paper · explained in 3 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Computational overhead — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Structural Control — 1× in this paper · explained in 2 episodes
• Test-time Scaling — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Vision-Language Model (VLM) — 1× in this paper · explained in 3 episodes
• Wasserstein Distance — 1× in this paper · explained in 4 episodes

Sources

• Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
• CharacterShot: Controllable and Consistent 4D Character Animation
• PEGAsus: 3D Personalization of Geometry and Appearance
• Style3D: Attention-guided Multi-view Style Transfer for 3D Object Generation
• Sketch2Scene: Automatic Generation of Interactive 3D Game Scenes from User's Casual Sketches

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