306人参赛，17队提交方案，评估影子去除的还原度与视觉效果。
NTIRE 2025 Image Shadow Removal Challenge Report
- 分重建精度与视觉感知双赛道评估影子去除效果。
- 使用WSRD+数据集，覆盖多样物体材质与自影/投影交互。
- 适合关注图像修复与视觉评估方法的研究者。
本文分析了NTIRE 2025影子去除挑战赛的成果。共有306名参与者注册，17支队伍在最终评测阶段成功提交解决方案。延续前两届模式，本次挑战设两个评估赛道：一个关注重建保真度，另一个通过用户研究评估视觉感知效果。两个赛道均采用WSRD+数据集，模拟大量不同物体、纹理和材质下的自影与投影交互场景。
原文摘要 · Abstract (English)
This work examines the findings of the NTIRE 2025 Shadow Removal Challenge. A total of 306 participants have registered, with 17 teams successfully submitting their solutions during the final evaluation phase. Following the last two editions, this challenge had two evaluation tracks: one focusing on reconstruction fidelity and the other on visual perception through a user study. Both tracks were evaluated with images from the WSRD+ dataset, simulating interactions between self- and cast-shadows with a large number of diverse objects, textures, and materials.
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