DreamSat-2.0提升小行星三维重建精度，适配航天自主导航。
DreamSat-2.0: Towards a General Single-View Asteroid 3D Reconstruction
- 对比三款3D重建模型在航天器与小行星上的表现。
- 复杂航天器图像质量高，简单小行星几何还原更准。
- 新基准测试揭示模型性能依赖具体场景，适合航天任务研发者。
为提升小行星探测与自主航天器导航能力，本文提出DreamSat-2.0流程，基于自建航天器与小行星数据集，对Hunyuan-3D、Trellis-3D和Ouroboros-3D三款前沿3D重建模型进行系统评估。采用2D感知（图像质量）与3D几何（形状精度）双维度指标分析发现，模型表现具有领域依赖性：在复杂航天器上生成图像质量更高，而在结构简单的火星上则实现更优几何重建。本研究建立新基准，其中Hunyuan-3D在航天器图像感知得分最高，且在小行星几何精度上优于前序工作，标志着显著进展。
原文摘要 · Abstract (English)
To enhance asteroid exploration and autonomous spacecraft navigation, we introduce DreamSat-2.0, a pipeline that benchmarks three state-of-the-art 3D reconstruction models-Hunyuan-3D, Trellis-3D, and Ouroboros-3D-on custom spacecraft and asteroid datasets. Our systematic analysis, using 2D perceptual (image quality) and 3D geometric (shape accuracy) metrics, reveals that model performance is domain-dependent. While models produce higher-quality images of complex spacecraft, they achieve better geometric reconstructions for the simpler forms of asteroids. New benchmarks are established, with Hunyuan-3D achieving top perceptual scores on spacecraft but its best geometric accuracy on asteroids, marking a significant advance over our prior work.
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