DGS-JEPA：动态高斯泼溅的时间组合联合嵌入预测
动态高斯分布提供了不断变化的 3D 场景的明确表示，但现有方法主要针对重建、未来状态生成或渲染进行优化，而不是针对学习可重用的预测动力学进行优化。我们提出 4DGS-JEPA，一个……
AI 摘要：要点
- 动态高斯分布提供了不断变化的 3D 场景的明确表示，但现有方法主要针对重建、未来状态生成或渲染进行优化，而不是针对学习可重用的预测动力学进行优化。我们提出 4DGS-JEPA，一个……
DGS-JEPA：动态高斯泼溅的时间组合联合嵌入预测
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