FILIGREE3D: Scaling Sparse Latent Flow Matching for Ultra-High-Resolution Image-to-3D Generation

arXiv:2609.34900 · cs.CV · Submitted 2026-09-28 · Read on arXiv

cs.CV

Submitted: 2026-09-28

Updated: 2026-09-28

Terminology

• Fidelity — 15× in this paper · explained in 2 episodes
• Transformer — 9× in this paper · explained in 2 episodes
• Regularization — 7× in this paper · explained in 3 episodes
• Flow Matching — 6× in this paper · explained in 8 episodes
• Core — 5× in this paper · explained in 2 episodes
• Alignment — 4× in this paper · explained in 1 episode
• Chamfer Distance — 4× in this paper
• Consistency — 4× in this paper · explained in 3 episodes
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Rectified Flow — 3× in this paper · explained in 3 episodes
• Sparse Attention — 3× in this paper · explained in 5 episodes
• Sparsity — 3× in this paper · explained in 4 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Abstraction — 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
• Generative Modeling — 2× in this paper · explained in 3 episodes
• Latent Representation — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Semantic Alignment — 2× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Deep ViT Features as Dense Visual Descriptors
• 3D Shape Tokenization via Latent Flow Matching
• Ultra3D: Efficient and High-Fidelity 3D Generation with Part Attention
• 3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion
• LAM: Large Avatar Model for One-shot Animatable Gaussian Head
• Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets
• TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models
• DINOv2: Learning Robust Visual Features without Supervision
• Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material
• TripoSR: Fast 3D Object Reconstruction from a Single Image
• Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
• Native and Compact Structured Latents for 3D Generation
• Hi3DGen: High-fidelity 3D Geometry Generation from Images via Normal Bridging
• LATO: 3D Mesh Flow Matching with Structured TOpology Preserving LAtents

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