Shape and Material Capture at Home
Daniel Lichy, Jiaye Wu, Soumyadip Sengupta, David W. Jacobs
2021年份
20顶会引用
摘要
Figure 1 : A bare-bones capture setup (left) consisting of only an iPhone, a flashlight and a sweet potato. The user captures a few images (with voice control) of the object by moving around with a flashlight directed at the object. We then reconstruct surface normal, albedo and roughness at high-resolution (1024×1024). Normals are integrated to create a mesh that is rendered with novel views and illuminations.
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引用它的顶会 Paper20
- Modeling Indirect Illumination for Inverse RenderingYuanqing Zhang, Jiaming Sun, Xingyi He, Huan Fu 等CVPR 2022 · 被引用 140 次
- NeMF: Inverse Volume Rendering with Neural Microflake FieldYoujia Zhang, Teng Xu, Junqing Yu, Yuteng Ye 等ICCV 2023 · 被引用 38 次
- MVPSNet: Fast Generalizable Multi-view Photometric StereoDongxu Zhao, Daniel Lichy, Pierre-Nicolas Perrin, Jan-Michael Frahm 等ICCV 2023 · 被引用 22 次
- Universal Photometric Stereo Network using Global Lighting ContextsSatoshi IkehataCVPR 2022 · 被引用 22 次
- LightDepth: Single-View Depth Self-Supervision from Illumination DeclineJavier Rodriguez Puigvert, Victor M. Batlle, J. M. M. Montiel, Ruben Martinez-Cantin 等ICCV 2023 · 被引用 22 次
它引用的顶会 Paper7
- Neural Inverse Rendering of an Indoor Scene From a Single ImageSoumyadip Sengupta, Jinwei Gu, Kihwan Kim, Guilin Liu 等ICCV 2019 · 被引用 172 次
- SPLINE-Net: Sparse Photometric Stereo Through Lighting Interpolation and Normal Estimation NetworksQian Zheng, Yiming Jia, Boxin Shi, Xudong Jiang 等ICCV 2019 · 被引用 81 次
- Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single ImageZhengqin Li, Mohammad Shafiei, Ravi Ramamoorthi, Kalyan Sunkavalli 等CVPR 2020
- Deep 3D Capture: Geometry and Reflectance From Sparse Multi-View ImagesSai Bi, Zexiang Xu, Kalyan Sunkavalli, David J. Kriegman 等CVPR 2020
- AvatarMe: Realistically Renderable 3D Facial Reconstruction "In-the-Wild"Alexandros Lattas, Stylianos Moschoglou, Baris Gecer, Stylianos Ploumpis 等CVPR 2020
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