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一种基于场景重建的新视角下视频合成方法

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针对多视角视频中少量视角前提下的动态场景,提出了一种新视角下的视频合成方法。该方法基于三维高斯抛雪球算法及一系列衍生模型,使用三维高斯函数为体素拟合静态标准场景,结合K-Planes作为变形场,并引入图像的深度信息,最终拟合动态场景。实验结果表明,该方法能够稳定地生成过渡视角视频,为视频处理和影视拍摄领域的视角变换效果提供了有效的解决方案。
A novel view video synthesis method based on scene reconstruction
For dynamic scene in multi-view videos with a limited number of viewpoints,a novel view video synthesis method was proposed.Based on the Gaussian splatting algorithm and a series of derived models,the method fitted static standard scenes by utilizing three dimensional Gaussian functions as voxels,and fitted dynamic scenes finally by integrating K-Planes as the deformation field and incorporating depth information from images.Experimental results demonstrate that this method can stably generate transitional view videos,offering an effective solution for view transformation effects in video processing and cinematography.

computer visionneural radiance fieldnovel view synthesis

刘林峰、丁濛

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北京信息科技大学计算机学院,北京 102206

计算机视觉 神经辐射场 新视角合成

2024

北京信息科技大学学报(自然科学版)
北京信息科技大学

北京信息科技大学学报(自然科学版)

影响因子:0.363
ISSN:1674-6864
年,卷(期):2024.39(4)