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LCD: Learned Cross-Domain Descriptors for 2D-3D Matching.

, , , , , и . AAAI, стр. 11856-11864. AAAI Press, (2020)

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NeRF Revisited: Fixing Quadrature Instability in Volume Rendering., , , , , и . CoRR, (2023)LCD: Learned Cross-Domain Descriptors for 2D-3D Matching., , , , , и . AAAI, стр. 11856-11864. AAAI Press, (2020)Generating Part-Aware Editable 3D Shapes without 3D Supervision., , , , , , , и . CVPR, стр. 4466-4478. IEEE, (2023)Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data., , , , и . ICCV, стр. 1588-1597. IEEE, (2019)DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion., , , , , и . ICCV, стр. 14211-14221. IEEE, (2023)Joint Learning of 3D Shape Retrieval and Deformation., , , , , и . CVPR, стр. 11713-11722. Computer Vision Foundation / IEEE, (2021)Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders., , , , , , и . CoRR, (2021)OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation., , , , , и . Comput. Graph. Forum, (октября 2023)PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition., и . CVPR, стр. 4470-4479. Computer Vision Foundation / IEEE Computer Society, (2018)LCD: Learned Cross-Domain Descriptors for 2D-3D Matching., , , , , и . CoRR, (2019)