Dynamic Flash Video Data (Ready-to-use) with Time-varying Appearance

A dataset of 21 flash-lit videos of time-varying materials is acquired, by a simple-to-construct setup. The data is pre-processed by the following protocol, and ready to use: each video has 100 JPG frames that are equally-spaced sampled from raw data, with the spatial resolution of 4032 x 3024. The data includes many natural phenomena: rusting, melting, drying, crystallizing, etc.The synthetic data is created by Blender. The details of physical capture setup can be found in our paper, and some instructions to reproduce this dataset can be found in this repo.This dataset is released in the paper:Chen Liu and Tobias Ritschel. 2024. Neural Differential Appearance Equations. ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia) (2024).

本数据集由易于构建的装置捕获的21段闪光照明下的时变材料视频组成。数据经过以下预处理协议，并已准备就绪：每段视频包含100帧JPG图像，这些图像均匀地采样自原始数据，具有4032 x 3024的空间分辨率。数据集涵盖了多种自然现象，如生锈、熔化、干燥、结晶等。合成数据由Blender生成。物理捕捉设置的详细信息可在我方论文中找到，有关复制此数据集的说明可在此仓库中找到。本数据集已在Chen Liu和Tobias Ritschel所著的2024年论文《神经微分外观方程》中发布，该论文发表于ACM Transactions on Graphics（SIGGRAPH Asia会议论文集）2024年。