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Neural Fields as Learnable Kernels for 3D Reconstruction.

, , , , , , и . CVPR, стр. 18479-18489. IEEE, (2022)

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Jaap Denissen

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Sharp Features on Multiresolution Subdivision Surfaces., , , и . Graph. Model., 64 (2): 61-77 (2002)CAD-Deform: Deformable Fitting of CAD Models to 3D Scans., , , , , , и . ECCV (13), том 12358 из Lecture Notes in Computer Science, стр. 599-628. Springer, (2020)Perceptual Deep Depth Super-Resolution., , , , , , и . ICCV, стр. 5652-5662. IEEE, (2019)Sharp Features on Multiresolution Subdivision Surfac., , , и . PG, стр. 140-149. IEEE Computer Society, (2001)Sim-X: parallel system software for interactive multi-experiment computational studies., , , и . IPDPS, IEEE, (2006)Gradient Dynamics of Shallow Univariate ReLU Networks., , , , , и . NeurIPS, стр. 8376-8385. (2019)ABC: A Big CAD Model Dataset for Geometric Deep Learning., , , , , , , , и . CVPR, стр. 9601-9611. Computer Vision Foundation / IEEE, (2019)Neural Fields as Learnable Kernels for 3D Reconstruction., , , , , , и . CVPR, стр. 18479-18489. IEEE, (2022)Surface modeling and parameterization with manifolds: Siggraph 2006 course notesAuthor presenation videos are available from the citation page., и . SIGGRAPH Courses, стр. 1-81. ACM, (2006)Real-time creased approximate subdivision surfaces., , , и . SI3D, стр. 155-160. ACM, (2009)