TaoFlowForge: Progressive Native Mesh Generation via Cascaded Flow Matching

arXiv:2609.37139 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Fidelity — 11× in this paper · explained in 2 episodes
• Transformer — 9× in this paper · explained in 2 episodes
• Diffusion Model — 8× in this paper · explained in 8 episodes
• Flow Matching — 7× in this paper · explained in 8 episodes
• Diffusion Models — 6× in this paper · explained in 6 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Ablation — 3× in this paper · explained in 1 episode
• Foundation Model — 3× in this paper · explained in 3 episodes
• Tokenization — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Flow Matching Model — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment Scores — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Chamfer Distance — 1× in this paper
• Core — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Direct Preference Optimization (DPO) — 1× in this paper · explained in 9 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Hausdorff Distance — 1× in this paper
• Loss Function — 1× in this paper · explained in 2 episodes
• Mixture of Experts — 1× in this paper · explained in 2 episodes
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models
• Hyper3D: Efficient 3D Representation via Hybrid Triplane and Octree Feature for Enhanced 3D Shape Variational Auto-Encoders
• Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale
• MeshCraft: Exploring Efficient and Controllable Mesh Generation with Flow-based DiTs
• Auto-Encoding Variational Bayes
• MeshFlow: Efficient Artistic Mesh Generation via MeshVAE and Flow-based Diffusion Transformer
• TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models
• LATO.2: Factorized 3D Mesh Generation with Vertex and Topology Flow
• FACE: A Face-based Autoregressive Representation for High-Fidelity and Efficient Mesh Generation
• Native and Compact Structured Latents for 3D Generation
• Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation
• TexVerse: A Universe of 3D Objects with High-Resolution Textures
• LATO: 3D Mesh Flow Matching with Structured TOpology Preserving LAtents
• Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

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