标题： LinkTo-Anime：来自3D模型渲染的2D动画光流数据集 显示英文标题

标题： LinkTo-Anime: A 2D Animation Optical Flow Dataset from 3D Model Rendering

摘要： 现有的光流数据集主要集中在现实世界模拟或合成的人类运动上，但很少有数据集专门针对Celluloid(cel)动画角色的运动：这是一个具有独特视觉和运动特性的领域。 为了填补这一空白，并促进光流估计以及下游任务（如动画视频生成和线稿上色）的研究，我们引入了LinkTo-Anime，这是首个专门为cel动画角色运动设计的高质量数据集，使用3D模型渲染生成。 LinkTo-Anime提供了丰富的标注，包括前向和后向光流、遮挡掩码以及Mixamo骨架。 该数据集包含395个视频序列，总计24,230个训练帧、720个验证帧和4,320个测试帧。 此外，还构建了一个综合基准，采用多种光流估计算法来分析多个数据集之间的不足和局限性。 显示英文摘要

摘要： Existing optical flow datasets focus primarily on real-world simulation or synthetic human motion, but few are tailored to Celluloid(cel) anime character motion: a domain with unique visual and motion characteristics. To bridge this gap and facilitate research in optical flow estimation and downstream tasks such as anime video generation and line drawing colorization, we introduce LinkTo-Anime, the first high-quality dataset specifically designed for cel anime character motion generated with 3D model rendering. LinkTo-Anime provides rich annotations including forward and backward optical flow, occlusion masks, and Mixamo Skeleton. The dataset comprises 395 video sequences, totally 24,230 training frames, 720 validation frames, and 4,320 test frames. Furthermore, a comprehensive benchmark is constructed with various optical flow estimation methods to analyze the shortcomings and limitations across multiple datasets.