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Found 2 papers, 2 papers with code
Towards Better Generalization: Joint Depth-Pose Learning without PoseNet
In this work, we tackle the essential problem of scale inconsistency for self-supervised joint depth-pose learning.
Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation
To overcome such a key limitation, we propose Sparsely Grouped Generative Adversarial Networks (SG-GAN) as a novel approach that can translate images on sparsely grouped datasets where only a few samples for training are labelled.
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