← Processing
Computer Vision › Processing ›

3D Vision

830 directly classified papers

Papers per year

Papers

Shape Unicode: A Unified Shape Representation CVPR 2019
What Do Single-View 3D Reconstruction Networks Learn? CVPR 2019
DuLa-Net: A Dual-Projection Network for Estimating Room Layouts From a Single RGB Panorama CVPR 2019
Large-Scale, Metric Structure From Motion for Unordered Light Fields CVPR 2019
3D Local Features for Direct Pairwise Registration CVPR 2019
Supervised Fitting of Geometric Primitives to 3D Point Clouds CVPR 2019
Combining 3D Morphable Models: A Large Scale Face-And-Head Model CVPR 2019
Deep Geometric Prior for Surface Reconstruction CVPR 2019
PRNet: Self-Supervised Learning for Partial-to-Partial Registration NIPS 2019
Learning to Infer Implicit Surfaces without 3D Supervision NIPS 2019
Multiview Aggregation for Learning Category-Specific Shape Reconstruction NIPS 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations NIPS 2019
Revealing Scenes by Inverting Structure From Motion Reconstructions CVPR 2019
BAD SLAM: Bundle Adjusted Direct RGB-D SLAM CVPR 2019
PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding CVPR 2019
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction CVPR 2019
Single-Image Piece-Wise Planar 3D Reconstruction via Associative Embedding CVPR 2019
HorizonNet: Learning Room Layout With 1D Representation and Pano Stretch Data Augmentation CVPR 2019
Learning to Reconstruct People in Clothing From a Single RGB Camera CVPR 2019
Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters CVPR 2019
DeepVoxels: Learning Persistent 3D Feature Embeddings CVPR 2019
A2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes AAAI 2019
Point Cloud Processing via Recurrent Set Encoding AAAI 2019
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation AAAI 2019
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network AAAI 2019