MeshOctave: Vertex Split-and-Rewire Cascades for Native Mesh Generation

arXiv:2609.38985 · cs.CV · Submitted 2026-09-30 · Read on arXiv

cs.CV

Submitted: 2026-09-30

Updated: 2026-10-06

Project page: https://maymhappy.github.io/MeshOctave

Terminology

• Fidelity — 12× in this paper · explained in 2 episodes
• Diffusion Model — 11× in this paper · explained in 8 episodes
• Transformer — 9× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 7× in this paper
• Flow Matching — 6× in this paper · explained in 7 episodes
• Diffusion Models — 5× in this paper · explained in 6 episodes
• ACM Transactions On Graphics — 4× in this paper
• Decode — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Generative Model — 3× in this paper · explained in 2 episodes
• Latent Representation — 3× in this paper · explained in 2 episodes
• Tokenization — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Embeddings — 2× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Latent Representations — 2× in this paper · explained in 3 episodes
• Quantization — 2× in this paper · explained in 12 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• AdaLN-Zero Modulation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 1× in this paper
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Sparse Attention — 1× in this paper · explained in 5 episodes

Sources

• PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models
• SubdivAR: Autoregressive Next-Scale Prediction for Neural Mesh Subdivision
• Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale
• Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material
• LATO.2: Factorized 3D Mesh Generation with Vertex and Topology Flow
• Mesh BDF: Barycentric Dominance Field for 3D Native Mesh Generation
• Topology Sculptor, Shape Refiner: Discrete Diffusion Model for High-Fidelity 3D Meshes Generation
• Meshy T2: Fast Native Mesh Generation with Flow Matching
• Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

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