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Found 3 papers, 1 papers with code
Towards realistic symmetry-based completion of previously unseen point clouds
3D scanning is a complex multistage process that generates a point cloud of an object typically containing damaged parts due to occlusions, reflections, shadows, scanner motion, specific properties of the object surface, imperfect reconstruction algorithms, etc.
ActGAN: Flexible and Efficient One-shot Face Reenactment
We also introduce a solution to preserve a person's identity between synthesized and target person by adopting the state-of-the-art approach in deep face recognition domain.
Training Deep Neural Networks by optimizing over nonlocal paths in hyperparameter space
Hyperparameter optimization is both a practical issue and an interesting theoretical problem in training of deep architectures.
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