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Awesome-Shape-Correspondence
A collection of resources on Shape Correspondences and some of my reading notes.
https://github.com/yzy1996/Awesome-Shape-Correspondence
- A survey on shape correspondence
- Recent advances in shape correspondence
- Simultaneous facial landmark detection, pose and deformation estimation under facial occlusion
- Deep Deformation Network for Object Landmark Localization
- Facial landmark detection by deep multi-task learning
- Deep Convolutional Network Cascade for Facial Point Detection
- SIFT: Object recognition from local scale-invariant features
- SURF: Speeded Up Robust Features
- SIFT Flow: Dense Correspondence across Scenes and Its Applications
- Deformable spatial pyramid matching for fast dense correspondences
- Do convnets learn correspondence?
- Proposal flow
- Convolutional neural network architecture for geometric matching
- End-to-end weakly-supervised semantic alignment
- Unsupervised learning of object frames by dense equivariant image labelling
- Unsupervised learning of object landmarks by factorized spatial embeddings
- Self-supervised learning of a facial attribute embedding from video
- Unsupervised learning of object landmarks through conditional image generation
- Unsupervised discovery of object landmarks as structural representations
- Teacher supervises students how to learn from partially labeled images for facial landmark detection
- Unsupervised learning of landmarks by descriptor vector exchange
- Self-supervised learning of interpretable keypoints from unlabelled videos
- Learning Dense Correspondence via 3D-guided Cycle Consistency
- Canonical Surface Mapping via Geometric Cycle Consistency
- Articulation-aware Canonical Surface Mapping
- Semantic Correspondence via 2D-3D-2D Cycle
- Discovery of latent 3d keypoints via end-to-end geometric reasoning
- Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
- KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control
- Unsupervised learning of intrinsic structural representation points
- KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations
- Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets
- Unsupervised learning of dense shape correspondence
- USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds
- Convolutional experts constrained local model for 3d facial landmark detection
- Cascaded pose regression
- Articulated pose estimation with flexible mixtures-of-parts
- DeepPose: Human pose estimation via deep neural networks
- Cascaded hand pose regression
- Stacked Hourglass Networks for Human Pose Estimation
- Hand Keypoint Detection in Single Images using Multiview Bootstrapping
- Single Image 3D Interpreter Network