Proposes discretized Matérn process noise for triangulation-agnostic flow matching on meshes with PoissonNet denoiser, tested on elastic states and humanoid poses for meshes exceeding one million triangles.
Ll3m: Large language 3d modelers
6 Pith papers cite this work. Polarity classification is still indexing.
6
Pith papers citing it
years
2026 6verdicts
UNVERDICTED 6representative citing papers
ContactPrompt uses part-wise vertex grids and multi-stage part-conditioned reasoning in MLLMs to achieve training-free dense hand contact estimation that outperforms prior supervised methods.
Prox-E is a training-free pipeline that abstracts 3D shapes into editable geometric primitives, uses a VLM to specify changes, and guides a generative model to apply precise local edits.
CMAG combines 3D concept scaffolding, prompt decomposition, taxonomy routing, hybrid retrieval, and agentic VLM verification to assemble topologically consistent avatars from catalog assets given free-form text prompts.
Code-as-Room is an MLLM-based agentic pipeline that parses top-down images into multi-stage Blender code synthesis with cross-stage memory to generate functional 3D rooms.
ProcFunc introduces a Python library with function-oriented abstractions for procedural 3D generation in Blender, enabling combinatorial scene creation and demonstrated via a new indoor room generator with compositional materials for synthetic data.
citing papers explorer
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Mat\'ern Noise for Triangulation-Agnostic Flow Matching on Meshes
Proposes discretized Matérn process noise for triangulation-agnostic flow matching on meshes with PoissonNet denoiser, tested on elastic states and humanoid poses for meshes exceeding one million triangles.
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Training-Free Dense Hand Contact Estimation with Multi-Modal Large Language Models
ContactPrompt uses part-wise vertex grids and multi-stage part-conditioned reasoning in MLLMs to achieve training-free dense hand contact estimation that outperforms prior supervised methods.
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Prox-E: Fine-Grained 3D Shape Editing via Primitive-Based Abstractions
Prox-E is a training-free pipeline that abstracts 3D shapes into editable geometric primitives, uses a VLM to specify changes, and guides a generative model to apply precise local edits.
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CMAG: Concept-Scaffolded Retrieval for Marketplace Avatar Generation
CMAG combines 3D concept scaffolding, prompt decomposition, taxonomy routing, hybrid retrieval, and agentic VLM verification to assemble topologically consistent avatars from catalog assets given free-form text prompts.
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Code-as-Room: Generating 3D Rooms from Top-Down View Images via Agentic Code Synthesis
Code-as-Room is an MLLM-based agentic pipeline that parses top-down images into multi-stage Blender code synthesis with cross-stage memory to generate functional 3D rooms.
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ProcFunc: Function-Oriented Abstractions for Procedural 3D Generation in Python
ProcFunc introduces a Python library with function-oriented abstractions for procedural 3D generation in Blender, enabling combinatorial scene creation and demonstrated via a new indoor room generator with compositional materials for synthetic data.