UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion
Zixuan Chen, Yujin Wang, Xin Cai, Zhiyuan You, Zheming Lu, Fan Zhang, Shi Guo, Tianfan Xue
摘要
to potential alignment issue or lighting variations. Moreover, by utilizing the image prior of the generative model, our model also generates natural tone mapping, even for very high-dynamic range scenes. Our approach outperforms HDR-Transformer on latest HDR benchmarks. Moreover, to test its performance in ultra high dynamic range scenes, we capture a new real-world exposure fusion benchmark, UltraFusion dataset, with exposure differences up to 9 stops, and experiments show that UltraFusion can generate beautiful and high-quality fusion results under various scenarios. Code and data will be available at https: //openimaginglab.github.io/UltraFusion .
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引用它的顶会 Paper11
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- F^2HDR: Two-Stage HDR Video Reconstruction via Flow Adapter and Physical Motion ModelingHuanjing Yue, Dawei Li, Shaoxiong Tu, Jingyu YangCVPR 2026
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