แนวคิดหลัก
Introducing a novel spatial-aware 3D shape generation framework leveraging hybrid shape representation for enhanced modeling.
บทคัดย่อ
The content introduces NeuSDFusion, a novel spatial-aware 3D shape generation framework that leverages 2D plane representations for enhanced 3D shape modeling. It addresses the limitations of existing methods by incorporating a hybrid shape representation technique that directly learns a continuous signed distance field representation of the 3D shape using orthogonal 2D planes. The framework ensures spatial coherence and reduces memory usage by enforcing spatial correspondences across distinct planes using a transformer-based autoencoder structure. NeuSDFusion consistently outperforms state-of-the-art 3D shape generation methods on various tasks, including unconditional shape generation, multi-modal shape completion, single-view reconstruction, and text-to-shape synthesis.
Introduction
- Existing methods decompose 3D shapes into localized components.
- Spatial consistency is crucial for versatile 3D data representation.
- NeuSDFusion introduces a spatial-aware 3D shape generation framework.
Data Representation
- Hybrid shape representation technique for enhanced 3D modeling.
- Continuous signed distance field representation using orthogonal 2D planes.
- Incorporation of a transformer-based autoencoder structure for spatial coherence.
Performance Evaluation
- Outperforms state-of-the-art methods in various 3D shape generation tasks.
- Demonstrates superior performance in unconditional generation and shape completion.
- Achieves high-quality 3D shape reconstruction from single-view images.
สถิติ
Existing methods often overlook spatial coherence.
NeuSDFusion consistently outperforms state-of-the-art methods.
คำพูด
"Our method consistently outperforms existing techniques, achieving state-of-the-art results in unconditional generation."
"Our approach excels across all categories, demonstrating the significant superiority of our proposed pipeline in the detailed modeling of 3D shapes."