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Found 3 papers, 2 papers with code
Enhanced 3DMM Attribute Control via Synthetic Dataset Creation Pipeline
While facial attribute manipulation of 2D images via Generative Adversarial Networks (GANs) has become common in computer vision and graphics due to its many practical uses, research on 3D attribute manipulation is relatively undeveloped.
Self-Attention Graph Pooling
In particular, studies have focused on generalizing convolutional neural networks to graph data, which includes redefining the convolution and the downsampling (pooling) operations for graphs.
Ranked #4 on
Graph Classification
on FRANKENSTEIN
Typeface Completion with Generative Adversarial Networks
However, in designing a typeface, it is difficult to keep the style of various characters consistent, especially for languages with lots of morphological variations such as Chinese.
