Scalable, Detailed and Mask-Free Universal Photometric Stereo
Satoshi Ikehata
2023年份
21顶会引用
摘要
Surface normal map SDM-UniPS (Ours) Input image (1st out of 9) UniPS [Ikehata2022] 3D Scanner (EinScan-SE) INPUT: Multiple images under varying unknown lighting conditions 1st 2nd 23rd Figure 1. Given multiple images under unknown spatially-varying illuminations, our method can recover the detailed surface normal map of non-convex, non-Lambertian surfaces (Left). Our method even surpasses the level of detail provided by consumer 3-D scanners (Right).
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引用它的顶会 Paper21
- SfPUEL: Shape from Polarization under Unknown Environment LightYouwei Lyu, Heng Guo, Kailong Zhang, Si Li 等NeurIPS 2024 · 被引用 18 次
- DiLiGenT-Π: Photometric Stereo for Planar Surfaces with Rich Details - Benchmark Dataset and BeyondFeishi Wang, Jieji Ren, Heng Guo, Mingjun Ren 等ICCV 2023 · 被引用 18 次
- EventPS: Real-Time Photometric Stereo Using an Event CameraBohan Yu, Jieji Ren, Jin Han, Feishi Wang 等CVPR 2024 · 被引用 13 次
- Light of Normals: Unified Feature Representation for Universal Photometric StereoHouyuan Chen, Hong Li, Chongjie Ye, Zhaoxi Chen 等ICLR 2026 · 被引用 12 次
- Hi3dgen: High-Fidelity 3D Geometry Generation From Images Via Normal BridgingChongjie Ye, Yushuang Wu, Ziteng Lu, Jiahao Chang 等ICCV 2025 · 被引用 11 次
它引用的顶会 Paper13
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- An Image is Worth 16x16 Words: Transformers for Image Recognition at ScaleAlexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn 等ICLR 2021 · 被引用 21,477 次
- A ConvNet for the 2020sZhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer 等CVPR 2022 · 被引用 6,782 次
- Swin Transformer V2: Scaling Up Capacity and ResolutionZe Liu, Han Hu, Yutong Lin, Zhuliang Yao 等CVPR 2022 · 被引用 2,138 次
- Point Transformer V2: Grouped Vector Attention and Partition-based PoolingXiaoyang Wu, Yixing Lao, Li Jiang, Xihui Liu 等NeurIPS 2022 · 被引用 924 次
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