not-so-big-GAN: Generating High-Fidelity Images on Small Compute with Wavelet-based Super-Resolution

no code implementations • 1 Jan 2021 • Seungwook Han, Akash Srivastava, Cole Lincoln Hurwitz, Prasanna Sattigeri, David Daniel Cox

First, we generate images in low-frequency bands by training a sampler in the wavelet domain.

Decoder Image Generation +1

Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modeling

no code implementations • 25 Oct 2020 • Akash Srivastava, Yamini Bansal, Yukun Ding, Cole Lincoln Hurwitz, Kai Xu, Bernhard Egger, Prasanna Sattigeri, Joshua B. Tenenbaum, Agus Sudjianto, Phuong Le, Arun Prakash R, Nengfeng Zhou, Joel Vaughan, Yaqun Wang, Anwesha Bhattacharyya, Kristjan Greenewald, David D. Cox, Dan Gutfreund

Current autoencoder-based disentangled representation learning methods achieve disentanglement by penalizing the (aggregate) posterior to encourage statistical independence of the latent factors.

Disentanglement