Learning to Infer Semantic Parameters for 3D Shape Editing
Papers citing "Learning to Infer Semantic Parameters for 3D Shape Editing"
10 / 10 papers shown
 3D Semantic Subspace Traverser: Empowering 3D Generative Model with
Shape Editing CapabilityIEEE International Conference on Computer Vision (ICCV), 2023 |
 NAISR: A 3D Neural Additive Model for Interpretable Shape RepresentationInternational Conference on Learning Representations (ICLR), 2023 |
 Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and
ManipulationACM Transactions on Graphics (TOG), 2023 |
 SPAGHETTI: Editing Implicit Shapes Through Part Aware GenerationACM Transactions on Graphics (TOG), 2022 |
 NeuralMLS: Geometry-Aware Control Point DeformationEurographics (EG), 2022 |
 A Revisit of Shape Editing Techniques: from the Geometric to the Neural
ViewpointJournal of Computational Science and Technology (JCST), 2021 |
