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Methodology
← Analysis
Computer Vision
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Analysis
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3D Vision
7218 directly classified papers
Papers per year
2006: 11
2007: 4
2008: 5
2009: 5
2010: 7
2011: 4
2012: 10
2013: 175
2014: 109
2015: 195
2016: 110
2017: 116
2018: 171
2019: 384
2020: 414
2021: 733
2022: 621
2023: 1178
2024: 1113
2025: 1532
2026: 321
Papers
Deep 3D Capture: Geometry and Reflectance From Sparse Multi-View Images
CVPR 2020
IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous Driving
CVPR 2020
3DSSD: Point-Based 3D Single Stage Object Detector
CVPR 2020
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss
NIPS 2020
Neural Star Domain as Primitive Representation
NIPS 2020
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud
NIPS 2020
ShapeFlow: Learnable Deformation Flows Among 3D Shapes
NIPS 2020
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport
NIPS 2020
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images
NIPS 2020
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds
NIPS 2020
Continuous Surface Embeddings
NIPS 2020
PIE-NET: Parametric Inference of Point Cloud Edges
NIPS 2020
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data
NIPS 2020
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction
NIPS 2020
MeshSDF: Differentiable Iso-Surface Extraction
NIPS 2020
An Analysis of SVD for Deep Rotation Estimation
NIPS 2020
Correspondence learning via linearly-invariant embedding
NIPS 2020
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration
NIPS 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
NIPS 2020
Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence
NIPS 2020
Probabilistic Orientation Estimation with Matrix Fisher Distributions
NIPS 2020
Self-Supervised Few-Shot Learning on Point Clouds
NIPS 2020
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D
NIPS 2020
Dense Correspondences between Human Bodies via Learning Transformation Synchronization on Graphs
NIPS 2020
Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences
CVPR 2020
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