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3D Vision

7,218 papers

Papers per year

Papers

SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks NIPS 2020
Unsupervised object-centric video generation and decomposition in 3D NIPS 2020
UCLID-Net: Single View Reconstruction in Object Space NIPS 2020
Generative View Synthesis: From Single-view Semantics to Novel-view Images NIPS 2020
Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence NIPS 2020
Probabilistic Orientation Estimation with Matrix Fisher Distributions NIPS 2020
Learning to Orient Surfaces by Self-supervised Spherical CNNs NIPS 2020
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views NIPS 2020
Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision NIPS 2020
Generative 3D Part Assembly via Dynamic Graph Learning NIPS 2020
Self-Supervised Few-Shot Learning on Point Clouds NIPS 2020
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss NIPS 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains NIPS 2020
Neural Star Domain as Primitive Representation NIPS 2020
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud NIPS 2020
Learning the Geometry of Wave-Based Imaging NIPS 2020
ShapeFlow: Learnable Deformation Flows Among 3D Shapes NIPS 2020
Learning Deformable Tetrahedral Meshes for 3D Reconstruction NIPS 2020
GPS-Net: Graph-based Photometric Stereo Network NIPS 2020
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport NIPS 2020
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D NIPS 2020
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images NIPS 2020
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration NIPS 2020
Group Contextual Encoding for 3D Point Clouds NIPS 2020
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations NIPS 2020