Invertible Convolution with Symmetric Paddings
Not on the map. Why?
Abstract (arXiv)
We show that symmetrically padded convolution can be analytically inverted via DFT. We comprehensively analyze several different symmetric and anti-symmetric padding modes and show that multiple cases exist where the inversion can be achieved. The implementation is available at urlhttps://github.com/prclibo/iconvdft.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 10 references that are in the map. First posted on arXiv 30 Mar 2023.
Builds on
7 of 10 references.
References · 7
- 2019Your Classifier is Secretly an Energy Based Model and You Should Treat it Like Onecited by 405
- 2018Invertible Residual Networkscited by 365
- 2020Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Modelscited by 66
- 2021Densely connected normalizing flowscited by 49
- 2020VFlow: More Expressive Generative Flows with Variational Data Augmentationcited by 38
- 2019MaCow: Masked Convolutional Generative Flowcited by 32
- 2019Emerging Convolutions for Generative Normalizing Flowscited by 31
Built on by
Not cited yet.