Convolutional Autoencoders for Human Motion Infilling

1 code implementation • 22 Oct 2020 • Manuel Kaufmann, Emre Aksan, Jie Song, Fabrizio Pece, Remo Ziegler, Otmar Hilliges

At the heart of our approach lies the idea to cast motion infilling as an inpainting problem and to train a convolutional de-noising autoencoder on image-like representations of motion sequences.

DeepWriting: Making Digital Ink Editable via Deep Generative Modeling

1 code implementation • 25 Jan 2018 • Emre Aksan, Fabrizio Pece, Otmar Hilliges

Digital ink promises to combine the flexibility and aesthetics of handwriting and the ability to process, search and edit digital text.

Handwriting generation Handwritten Word Generation +1