SAMPart3D: Segment Any Part in 3D Objects

Опубликовано: 14 Июнь 2026
на канале: Emergent Mind
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Paper: SAMPart3D: Segment Any Part in 3D Objects (2411.07184)
Published: 11 Nov 2024.

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arXiv: https://arxiv.org/abs/2411.07184
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This presentation introduces SAMPart3D, a breakthrough framework for zero-shot 3D part segmentation that eliminates the need for predefined labels or text prompts. We explore how the system leverages 2D-to-3D feature distillation, scale-conditioned grouping, and multimodal language models to achieve granularity-controllable segmentation across diverse 3D objects. The talk demonstrates the framework's superior performance, introduces the new PartObjaverse-Tiny benchmark, and reveals practical applications from robotic manipulation to interactive 3D editing.