This paper investigates how training acceleration in diffusion transformers works and why it's important for practitioners to understand this process. By analyzing how the residual gate is reorganized during training, the authors found that this reorganization is a key factor in accelerating training, and they propose a simple method to promote this reorganization.
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This paper proposes a method to generate stylized hair cards from a single image, which can be animated and exported to downstream formats. Practitioners in the field of computer graphics and animation may care about this research as it can simplify the creation of stylized characters.