发表机构
Korea Advanced Institute of Science and Technology; Chung-Ang University（韩国科学技术院; 中央大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对固定材料预设限制冲击声音渲染的问题，提出ImpactMat数据集和基准，并设计前馈模型从录音预测材料参数，实现连续材料估计与真实录音重渲染。
AI 中文摘要
冲击声音渲染合成3D物体被击打时产生的声音，但实际渲染器通常依赖固定的材料预设，如木材、塑料或钢材。这些预设限制了渲染器能表达的冲击声音范围，而手动调整底层材料参数在缺乏材料声学专业知识的情况下仍然困难。因此，我们研究逆冲击声音渲染：从参考冲击声音预测材料参数，以便模拟器能重建相似的材料响应。为支持此任务，我们引入ImpactMat，一个包含单一和混合材料冲击声音及其对应的真实材料参数的数据集和基准。我们进一步提出一个前馈模型，从一次或多次录音中预测这些参数，利用混合材料学习材料类型之间的平滑过渡。实验表明，我们的方法优于竞争性基线，并能从真实录音中重新渲染而无需手动参数调整。项目页面可在该https URL获取。
英文摘要
Impact sound rendering synthesizes the sound produced when a 3D object is struck, but practical renderers often rely on fixed material presets such as wood, plastic, or steel. These presets limit the range of impact sounds a renderer can express, while manually adjusting the underlying material parameters remains difficult without expertise in material acoustics. We therefore study inverse impact sound rendering: predicting material parameters from a reference impact sound so that a simulator can recreate a similar material response. To support this task, we introduce ImpactMat, a dataset and benchmark of single and blended material impact sounds paired with ground-truth material parameters. We further propose a feed-forward model that predicts these parameters from one or more recordings, using blended materials to learn smooth transitions between material types. Experiments show that our method outperforms competitive baselines and enables re-rendering from real recordings without manual parameter tuning. The project page is available https://material-from-impact.github.io/material-from-impact/.
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