dense correspondence

Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction NeurIPS 2020 Continuous Surface Embeddings NeurIPS 2020 Correspondence learning via linearly-invariant embedding NeurIPS 2020 Cross-Domain Correspondence Learning for Exemplar-Based Image Translation CVPR 2020 Dense Correspondences between Human Bodies via Learning Transformation Synchronization on Graphs NeurIPS 2020 Dual-Resolution Correspondence Networks NeurIPS 2020 GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences CVPR 2020 GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network NeurIPS 2020 Learning to Transfer Texture From Clothing Images to 3D Humans CVPR 2020 Neural Non-Rigid Tracking NeurIPS 2020 ReDA:Reinforced Differentiable Attribute for 3D Face Reconstruction CVPR 2020 3D Face Modeling From Diverse Raw Scan Data ICCV 2019 A Condition Number for Joint Optimization of Cycle-Consistent Networks NeurIPS 2019 Boosting Local Shape Matching for Dense 3D Face Correspondence CVPR 2019 Canonical Surface Mapping via Geometric Cycle Consistency ICCV 2019 Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels NeurIPS 2019 Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild ICCV 2019 DPOD: 6D Pose Object Detector and Refiner ICCV 2019 End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans ICCV 2019 Joint Learning of Semantic Alignment and Object Landmark Detection ICCV 2019 Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure From Motion CVPR 2019 4D Human Body Correspondences From Panoramic Depth Maps CVPR 2018 DensePose: Dense Human Pose Estimation in the Wild CVPR 2018 End-to-End Weakly-Supervised Semantic Alignment CVPR 2018 Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization NeurIPS 2018