Abstract: The performance of variational auto-encoders (VAE) for image compression has steadily grown in recent years, thus becoming competitive with advanced visual data compression technologies.
This code aims to provide a training-free strategy for TRELLIS to generate continuous results through time. This is a forked version from TRELLIS. For the original work, please refer to the links ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results