SeMo3D: Unifying 3D Generation, Editing, and Completion via Selective Modeling
SeMo3D proposes Selective Modeling, treating 3D generation, editing, and completion as synthesizing one designated region while keeping the rest of the asset intact.
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- Primary sourceHugging Face
- Discovery linkHugging Face
- Linked in sourceView arXiv page
- Linked in sourceView PDF
- Linked in sourcehttps://github.com/XiaokunSun/SeMo3D
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SeMo3D proposes Selective Modeling, treating 3D generation, editing, and completion as synthesizing one designated region while keeping the rest of the asset intact. Its region-selective denoising applies noise and loss only to randomly chosen regions of standard 3D assets, allowing training without paired editing or completion data. The Omni3DiT diffusion transformer distinguishes regions to create from regions to retain and fuses image, text, and point guidance. The authors report surpassing state-of-the-art methods on all three tasks across three benchmarks and note use as a modeling tool for agents.
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All three tasks are framed as synthesizing a designated region while keeping the rest of the 3D asset intact.
Source: Hugging Face ↗Stored source-based brief · key point 1 · AINewsIQ paraphraseRegion-selective denoising applies noise and loss only to randomly selected regions, enabling training without paired editing or completion data.
Source: Hugging Face ↗Stored source-based brief · key point 2 · AINewsIQ paraphraseOmni3DiT is a multi-condition 3D diffusion transformer that fuses image, text, and point guidance for fine-grained control.
Source: Hugging Face ↗Stored source-based brief · key point 3 · AINewsIQ paraphraseThe authors report SeMo3D surpasses state-of-the-art methods on all tasks across three benchmarks.
Source: Hugging Face ↗Stored source-based brief · key point 4 · AINewsIQ paraphraseLimits from the stored brief
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Why this may matter
Unifying generation, editing, and completion in one model, while preserving unchanged content by construction, could reduce task-specific engineering and paired-data requirements for 3D content creation and agent-driven 3D workflows.
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