3d shape reconstruction

Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization ICLR 2022 3DIAS: 3D Shape Reconstruction With Implicit Algebraic Surfaces ICCV 2021 Active 3D Shape Reconstruction from Vision and Touch NeurIPS 2021 Deep Polarization Imaging for 3D Shape and SVBRDF Acquisition CVPR 2021 Event-Based Bispectral Photometry Using Temporally Modulated Illumination CVPR 2021 ME-PCN: Point Completion Conditioned on Mask Emptiness ICCV 2021 SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks ICCV 2021 Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields IJCAI 2021 DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing CVPR 2020 Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction CVPR 2020 In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction From 2D Landmarks CVPR 2020 Neural Unsigned Distance Fields for Implicit Function Learning NeurIPS 2020 UCSG-NET- Unsupervised Discovering of Constructive Solid Geometry Tree NeurIPS 2020 Learning View Priors for Single-View 3D Reconstruction CVPR 2019 Multiview Aggregation for Learning Category-Specific Shape Reconstruction NeurIPS 2019 Lions and Tigers and Bears: Capturing Non-Rigid, 3D, Articulated Shape From Images CVPR 2018 Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers CVPR 2018 3D Menagerie: Modeling the 3D Shape and Pose of Animals CVPR 2017 Learning Category-Specific 3D Shape Models From Weakly Labeled 2D Images CVPR 2017 MarrNet: 3D Shape Reconstruction via 2.5D Sketches NeurIPS 2017 A Field Model for Repairing 3D Shapes CVPR 2016 Adopting an Unconstrained Ray Model in Light-Field Cameras for 3D Shape Reconstruction CVPR 2015 Analyzing 3D Objects in Cluttered Images NeurIPS 2012