Efficient Part-level 3D Object Generation via Dual Volume Packing
Recent progress in 3D object generation has greatly improved both the quality
and efficiency. However, most existing methods generate a single mesh with all
parts fused together, which limits the ability to edit or manipulate individual
parts. A key challenge is that different objects may have a varying number of
parts. To address this, we propose a new end-to-end framework for part-level 3D
object generation. Given a single input image, our method generates
high-quality 3D objects with an arbitrary number of complete and semantically
meaningful parts. We introduce a dual volume packing strategy that organizes
all parts into two complementary volumes, allowing for the creation of complete
and interleaved parts that assemble into the final object. Experiments show
that our model achieves better quality, diversity, and generalization than
previous image-based part-level generation methods.
684b7c563b733ba333686f7e
Jiaxiang Tang
684b7c563b733ba333686f7f
Ruijie Lu
684b7c563b733ba333686f80
Zhaoshuo Li
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Zekun Hao
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Xuan Li
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Fangyin Wei
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Shuran Song
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Gang Zeng
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Ming-Yu Liu
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Tsung-Yi Lin
Efficient Part-level 3D Object Generation via Dual Volume Packing
Recent progress in 3D object generation has greatly improved both the quality
and efficiency. However, most existing methods generate a single mesh with all
parts fused together, which limits the ability to edit or manipulate individual
parts. A key challenge is that different objects may have a varying number of
parts. To address this, we propose a new end-to-end framework for part-level 3D
object generation. Given a single input image, our method generates
high-quality 3D objects with an arbitrary number of complete and semantically
meaningful parts. We introduce a dual volume packing strategy that organizes
all parts into two complementary volumes, allowing for the creation of complete
and interleaved parts that assemble into the final object. Experiments show
that our model achieves better quality, diversity, and generalization than
previous image-based part-level generation methods.
A new end-to-end framework generates high-quality 3D objects with part-level detail from a single image using a dual volume packing strategy.
3D object generation part-level generation dual volume packing strategy image-based generation semantic meaning complete parts interleaved parts