本章讨论实现动态NeRF的两种主要方法:变形的 ray bending 和骨架驱动的 deformation。NR-NeRF利用ray bending实现非刚性变形,无需显式监督,通过神经网络学习渲染。Skeleton-NeRF基于传统骨架动画,利用隐含代码和混合权重场产生变形场,实现动态渲染。两种方法均扩展了NeRF网络以处理复杂渲染效果,如子弹时间效果,未来研究将结...
论文随记|D-NeRF: Neural Radiance Fields for Dynamic Scenes Fiayn 报道易出偏差的没有常识的年轻人 25 人赞同了该文章 Abstract NeRF只能重建静态场景,本文提出的方法可以把神经辐射场扩展到动态领域,可以在单相机围绕场景旋转一周的情况下重建物体的刚性和非刚性运动。由此把时间作为附加维度加到输入中,同时把学习...
对比结果:在渲染质量和速度上与基线方法比较,采用PSNR、SSIM和LPIPS评估,对移动对象计算PSNR*,模型在所有指标上表现最佳,渲染速度比基于NeRF的方法快两个数量级,定性结果显示其他方法存在模糊、失真或伪影,而该方法能生成高质量视图。 消融实验:验证算法设计选择,优化跟踪姿态可提高质量,4D球谐模型能细化渲染质量,尤其是...
DDN-SLAM [43] employs semantic information and conditional probabilities for dynamic segmentation, combined with multi-resolution hash encoding, to construct high-quality static maps. However, these NeRF-based methods are still constrained by the computational speed of training and inference processes and...
DDN-SLAM [43] employs semantic information and conditional probabilities for dynamic segmentation, combined with multi-resolution hash encoding, to construct high-quality static maps. However, these NeRF-based methods are still constrained by the computational speed of training and inference processes and...
ThermalNeRF: Thermal Radiance Fields. In Proceedings of the IEEE International Conference on Computational Photography (ICCP), Lausanne, Switzerland, 22–24 July 2024. [Google Scholar] Chen, Q.; Shu, s.; Bai, X. Thermal3D-GS: Physics-induced 3D Gaussians for Thermal Infrared Novel-view ...
ThermalNeRF: Thermal Radiance Fields. In Proceedings of the IEEE International Conference on Computational Photography (ICCP), Lausanne, Switzerland, 22–24 July 2024. [Google Scholar] Chen, Q.; Shu, s.; Bai, X. Thermal3D-GS: Physics-induced 3D Gaussians for Thermal Infrared Novel-view ...
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