qihoo360/RevealLayer-100K

RevealLayer Open 是一个开源数据集，伴随论文《RevealLayer: 通过遮挡感知图像分解解耦隐藏和可见层》。该数据集专注于自然图像的框引导分层图像分解任务。给定一张RGB图像和实例边界框，任务是将场景分解为干净的背景和对象级的前景层，其中每个前景层以RGBA格式表示。数据集包含训练数据和基准测试子集，用于评估背景重建和前景RGBA层分解，部分基准测试子集仅包含原始图像和边界框注释，不提供背景或前景层的地面真实数据。RevealLayer Open is the open-source dataset accompanying RevealLayer: Disentangling Hidden and Visible Layers via Occlusion-Aware Image Decomposition. RevealLayer studies box-guided layered image decomposition for natural images. Given an RGB image and instance bounding boxes, the task is to decompose the scene into a clean background and object-level foreground layers, where each foreground layer is represented as RGBA.