English(EN) Bio-SFT: Asymmetric Cortical Guidance and Retinal Adaptation for Robust HDR Reconstruction

受生物启发的Transformer增强高动态范围图像重建

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-21 04:00

研究人员开发了Bio-SFT，这是一种新颖的受生物启发的脉冲频率Transformer，用于从标准动态范围输入重建高动态范围（HDR）图像。该系统融合了三个关键的生物机制：用于照明稳定的Naka-Rushton视网膜适应前端，用于结构引导的Parvo-Magno分裂，以及用于抑制暗区噪声的事件驱动脉冲神经网络（SNN）。这种方法旨在减少视觉伪影和颜色失真，在HDRTV1K数据集上展示了具有竞争力的感知质量和改进的指标。 AI

影响引入了一种新颖的受生物启发的图像重建方法，有望提高HDR应用中的视觉质量。

排序理由详细介绍新模型架构及其在特定任务上性能的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Tingyu Cheng, Ting Zhang, Chongyi Li, Zhaoqing Pan, Tiesong Zhao · 2026-07-21 04:00

Bio-SFT：不对称皮层引导和视网膜适应，实现鲁棒HDR重建

arXiv:2607.17456v1 Announce Type: new Abstract: Recovering high dynamic range (HDR) radiance from a single standard dynamic range (SDR) image is highly ill-posed. Extreme luminance variation and severe quantization in dark regions make accurate reconstruction challenging, often l…

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Bio-SFT：不对称皮层引导和视网膜适应，实现鲁棒HDR重建

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