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NeRF Revisited: Fixing Quadrature Instability in Volume Rendering., , , , , and . CoRR, (2023)Generating Part-Aware Editable 3D Shapes without 3D Supervision., , , , , , , and . CVPR, page 4466-4478. IEEE, (2023)LCD: Learned Cross-Domain Descriptors for 2D-3D Matching., , , , , and . AAAI, page 11856-11864. AAAI Press, (2020)Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data., , , , and . ICCV, page 1588-1597. IEEE, (2019)DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion., , , , , and . ICCV, page 14211-14221. IEEE, (2023)Joint Learning of 3D Shape Retrieval and Deformation., , , , , and . CVPR, page 11713-11722. Computer Vision Foundation / IEEE, (2021)Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders., , , , , , and . CoRR, (2021)OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation., , , , , and . Comput. Graph. Forum, (October 2023)PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition., and . CVPR, page 4470-4479. Computer Vision Foundation / IEEE Computer Society, (2018)ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Process., , , , and . CoRR, (2024)