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Found 5 papers, 3 papers with code
Towards Universal Backward-Compatible Representation Learning
The task of backward-compatible representation learning is therefore introduced to support backfill-free model upgrades, where the new query features are interoperable with the old gallery features.
Non-Inherent Feature Compatible Learning
In this work, we introduce an approach for feature compatible learning without inheriting old classifier and training data, i. e., Non-Inherent Feature Compatible Learning.
Self-supervised Learning of Detailed 3D Face Reconstruction
The displacement map and the coarse model are used to render a final detailed face, which again can be compared with the original input image to serve as a photometric loss for the second stage.
MVF-Net: Multi-View 3D Face Morphable Model Regression
The main ingredient of the view alignment loss is a differentiable dense optical flow estimator that can backpropagate the alignment errors between an input view and a synthetic rendering from another input view, which is projected to the target view through the 3D shape to be inferred.
3D Facial Expression Reconstruction using Cascaded Regression
2D landmarks are detected and used to initialize the 3D shape and mapping matrices.
