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DirtyMoCap is introduced, a robust, marker-layout-free framework that consistently outperforms state-of-the-art configuration-specific baselines in both joint and vertex reconstruction accuracy, while the custom CUDA solver achieves up to a 100x speedup over standard PyTorch implementations.
Achieve robust human body fitting across diverse clothing, poses, and input completeness by disentangling "undressing" and "dense fitting" stages.
