多模态信息融合

NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Multi-Exposure Image Fusion in Dynamic Scenes (Track 2)

NTIRE 2026 第三次恢复任何图像模型（RAIM）挑战：动态场景中的多曝光图像融合（Track 2）

Lishen Qu, Yao Liu, Jie Liang, Hui Zeng, Wen Dai, Guanyi Qin, Ya-nan Guan, Shihao Zhou, Jufeng Yang, Lei Zhang, Radu Timofte, Xiyuan Yuan, Wanjie Sun, Shihang Li, Bo Zhang, Bin Chen, Jiannan Lin, Yuxu Chen, Qinquan Gao, Tong Tong, Song Gao, Jiacong Tang, Tao Hu, Xiaowen Ma, Qingsen Yan, Sunhan Xu, Juan Wang, Xinyu Sun, Lei Qi, He Xu, Jiachen Tu, Guoyi Xu, Yaoxin Jiang, Jiajia Liu, Yaokun Shi

专题命中 多聚焦/多曝光融合 ：image fusion(title,abstract)；multi-exposure(title,abstract)；分类 cs.CV

AI总结 本文提出NTIRE 2026挑战，针对动态场景中多曝光图像融合的HDR成像难题，提供包含100训练序列和100测试序列的基准数据集，评估PSNR、SSIM、LPIPS等指标及感知质量，最终由114支队伍提交987份方案，提升去噪和细节恢复能力。

Comments Accepted by CVPRW 2026