SuperVoxelGPT: Adaptive and Ordered 3D Tokenization for Autoregressive Shape Generation

arXiv:2605.29655 · cs.CV, cs.GR · Submitted 2026-05-28 · Read on arXiv

cs.CV, cs.GR

Submitted: 2026-05-28

Updated: 2026-09-19

Terminology

• Tokenization — 31× in this paper · explained in 2 episodes
• Embeddings — 9× in this paper · explained in 2 episodes
• Fidelity — 8× in this paper · explained in 2 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Centroidal Voronoi Tessellation — 7× in this paper
• Alignment — 6× in this paper · explained in 1 episode
• Quantization — 6× in this paper · explained in 12 episodes
• Decode — 5× in this paper · explained in 2 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Core — 4× in this paper · explained in 2 episodes
• Redundancy — 4× in this paper · explained in 2 episodes
• Semantic Alignment — 3× in this paper · explained in 3 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Flow Matching — 2× in this paper · explained in 8 episodes
• Gaussian Splatting — 2× in this paper · explained in 4 episodes
• Mean Curvature Sum — 2× in this paper
• Transactions on Graphics — 2× in this paper
• Average Per-Shape Codebook Utilization — 1× in this paper
• Benchmarking — 1× in this paper · explained in 3 episodes
• Convergence Guarantees — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Global Codebook Utilization — 1× in this paper
• KV cache — 1× in this paper · explained in 3 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Peak Signal-to-Noise Ratio — 1× in this paper
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• How Focused Are LLMs? A Quantitative Study via Repetitive Deterministic Prediction Tasks
• Qwen2.5-Coder Technical Report
• UltraShape 1.0: High-Fidelity 3D Shape Generation via Scalable Geometric Refinement
• Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details
• Dynamic-I2V: Exploring Image-to-Video Generation Models via Multimodal LLM
• Accelerating 3D Deep Learning with PyTorch3D
• Topology-Preserved Auto-regressive Mesh Generation in the Manner of Weaving Silk
• LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models

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