1. Hypernetworks;ha,2017
2. A critical analysis of self-supervision, or what we can learn from a single image;asano;Proc Int Conf Learn Representations,2019
3. Fourier features let networks learn high frequency functions in low dimensional domains;tancik;Proc Adv Neural Informat Process Syst,2020
4. Implicit neural representations with periodic activation functions;sitzmann;Proc Adv Neural Informat Process Syst,2020
5. A Sliced Wasserstein Loss for Neural Texture Synthesis