[IEEE TVCG] Neural Reflectance Capture in the View-Illumination Domain_哔哩哔哩_bilibili

Name: [IEEE TVCG] Neural Reflectance Capture in the View-Illumination Domain
Uploaded: 2021-10-08T14:43:06.000Z
Duration: 37 s
Channel: BSSRDF
Description: We propose a novel framework to efficiently capture the unknown reflectance on a non-planar 3D object, by learning to probe the 4D view-lighting domain with a high-performance illumination multiplexing setup. 详情请访问https://svbrdf.github.io/

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We propose a novel framework to efficiently capture the unknown reflectance on a non-planar 3D object, by learning to probe the 4D view-lighting domain with a high-performance illumination multiplexin, 视频播放量 345、弹幕量 0、点赞数 2、投硬币枚数 2、收藏人数 3、转发人数 1, 视频作者 BSSRDF, 作者简介 ，相关视频：[IEEE TVCG] Efficient Reflectance Capture with a Deep Gated Mixture-of-Experts，[SIGGRAPH Asia 2024]重光照高斯泼溅GS^3:Efficient Relighting w/Triple Gaussian Splatting，[IEEE TVCG] Learning Photometric Feature Transform for Free-form Object Scan，Neural Enhancement of Analytical Appearance Model [IEEE TVCG]，OpenSVBRDF: A Database of Measured Spatially-Varying Reflectance [SIGGRAPH Asia]，[CVPR 2023] A Unified Spatial-Angular Structured Light for Shape & Reflectance，[CVPR 2024] 通过神经结构光实现高速变化现象的实时采集重建，Differentiable Dynamic Visible-Light Tomography [ACM SIGGRAPH Asia 2023]，浙江大学-智能视觉信息采集-优秀课程项目展示，SIGGRAPH 2021论文 - 基于深度学习的自由式复杂材质扫描