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Found 6 papers, 4 papers with code
A Generative Multi-Resolution Pyramid and Normal-Conditioning 3D Cloth Draping
RGB cloth generation has been deeply studied in the related literature, however, 3D garment generation remains an open problem.
Hierarchical Residual Attention Network for Single Image Super-Resolution
In order to make an efficient use of the residual features, these are hierarchically aggregated into feature banks for posterior usage at the network output.
OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network
Super-resolution (SR) has achieved great success due to the development of deep convolutional neural networks (CNNs).
From 2D to 3D Geodesic-based Garment Matching
A new approach for 2D to 3D garment retexturing is proposed based on Gaussian mixture models and thin plate splines (TPS).
End-to-end Global to Local CNN Learning for Hand Pose Recovery in Depth Data
Despite recent advances in 3D pose estimation of human hands, especially thanks to the advent of CNNs and depth cameras, this task is still far from being solved.
Enhanced Mixtures of Part Model for Human Pose Estimation
In this condition, we can combine extracted human blobs with histogram of gradient feature, which is commonly used in mixture of parts model for training body part templates.
