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3D Generation

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Papers

SNAP3D: Physically Grounded 3D Parts for Assembly from a Single Image

2026-09-11 · Yu-Rou Tuan, Hao-Tang Tsui, Nicolas Ugrinovic, Kris Kitani 외 hf

Part-aware 3D asset generation enables applications such as editing, articulation, simulation, and fabrication, yet existing methods can generate visually complete individual parts without ensuring that they form a valid…

3D Generation

Guiding Image-to-3D Generation with Test-Time Partial Observations

2026-09-09 · Jerred Chen, Simon Weber, Ronald Clark arxiv

Image-to-3D models can generate visually compelling 3D assets from a single RGB image, but their geometry is often only loosely constrained by the available observations, limiting their use in applications that require g…

3D Generation

ZipTok3D: High-Fidelity 3D Tokenization with Compact Token Prefixes

2026-09-01 · Mingda Lin, Weijie Wang, Zeyu Zhang, Bowen Cui 외 hf

Compact token sequences are essential for efficient 3D generation. However, existing 3D tokenizers typically organize latent representations either over spatial regions or as fixed-size sets of global tokens, both suffer…

3D Generation

Cyc3D: Evaluating Cyclic Structural Stability and Asset Usability in Image-to-3D Generation

2026-08-28 · Liwen Zhang arxiv

Image-conditioned 3D generation has advanced rapidly, yet existing evaluation protocols largely judge rendered-view plausibility and semantic alignment, overlooking whether a generator forms a stable 3D interpretation an…

3D Generation

Luce: Relightable Gaussians for 3D Asset Generation

2026-08-25 · Mayank Singh, Michele Stoppa, Alvise Memo, Rui Yu 외 hf

High-fidelity image-to-3D generation requires a 3D representation that captures both geometry and appearance. To support relighting and integration into standard rendering pipelines, the representation should include phy…

3D Generation

Block3D: Efficient Text-to-3D Generation via Block-Wise Diffusion

2026-08-20 · Bowen Cui, Weijie Wang, Zeyu Zhang, Yefei He 외 arxiv

While text-to-3D generation has advanced rapidly, achieving high geometric fidelity at low inference cost remains challenging. Existing text-to-3D methods either decode discrete shape tokens autoregressively or iterative…

3D Generation

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