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Found 9 papers, 2 papers with code
Surface Defect Classification in Real-Time Using Convolutional Neural Networks
Surface inspection systems are an important application domain for computer vision, as they are used for defect detection and classification in the manufacturing industry.
Learning Quadrangulated Patches For 3D Shape Processing
We propose a system for surface completion and inpainting of 3D shapes using generative models, learnt on local patches.
DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth
Also, by employing a joint training strategy with real and synthetic data, we recover 3D hand mesh and pose from real images in 3. 7ms.
Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks
We present a novel global representation of 3D shapes, suitable for the application of 2D CNNs.
Fast Feature Extraction with CNNs with Pooling Layers
In recent years, many publications showed that convolutional neural network based features can have a superior performance to engineered features.
Fast View Synthesis with Deep Stereo Vision
Novel view synthesis is an important problem in computer vision and graphics.
HDM-Net: Monocular Non-Rigid 3D Reconstruction with Learned Deformation Model
Monocular dense 3D reconstruction of deformable objects is a hard ill-posed problem in computer vision.
Learning quadrangulated patches for 3D shape parameterization and completion
By encoding 3D surface detail on local patches, we learn a patch dictionary that identifies principal surface features of the shape.
CNN-based Patch Matching for Optical Flow with Thresholded Hinge Embedding Loss
In this paper, we present a CNN based patch matching approach for optical flow estimation.
