English(EN) Embedding Physical Reasoning into Diffusion-Based Shadow Generation Under the Sun and Sky

新的扩散模型嵌入物理推理以生成逼真的阴影

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-01 04:00

研究人员开发了一种新的方法，通过将物理推理纳入扩散模型来生成图像中逼真的投射阴影。与先前将阴影生成视为简单图像转换任务的方法不同，这种方法明确考虑了场景几何和光照。该系统恢复了近似的场景几何并估计了主导光线方向，以创建粗略的阴影估计，然后该估计对基于扩散的生成器进行条件约束以进行精炼。在DESOBAv2数据集上的实验表明，与现有的最先进技术相比，阴影准确性和定位性有了显著提高，阴影区域RMSE降低了23%，阴影掩码BER降低了30%。 AI

影响这项研究可能为计算机图形学和图像编辑应用带来更逼真的视觉效果。

排序理由该集群包含一篇详细介绍新图像生成方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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本文如何被排名

Signal score: 11 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇详细介绍新图像生成方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Shilin Hu, Jingyi Xu, Akshat Dave, Dimitris Samaras, Hieu Le · 2026-10-01 04:00

将物理推理嵌入基于扩散的日照阴影生成

arXiv:2512.06174v3 Announce Type: replace Abstract: Generating realistic cast shadows for inserted foreground objects requires reasoning about scene geometry and illumination. However, most learning-based approaches treat shadow generation as an image translation problem and capt…

本文如何被排名

报道来源 [1]

将物理推理嵌入基于扩散的日照阴影生成

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