Comparision Of Adversarial And Non-Adversarial LSTM Music Generative Models

1 November 2022

Papers citing "Comparision Of Adversarial And Non-Adversarial LSTM Music Generative Models"

5 / 5 papers shown

Title
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 213 1,354 0 24 Jan 2022
Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks Bo-Yu Chen Wei-Han Hsu Wei-Hsiang Liao Marco A. Martínez Ramírez Yuki Mitsufuji Yi-Hsuan Yang GAN 35 8 0 13 Oct 2021
An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification Chongsheng Zhang Paolo Soda Jingjun Bi Gaojuan Fan G. Almpanidis S. García 28 39 0 01 Sep 2021
C-RNN-GAN: Continuous recurrent neural networks with adversarial training Olof Mogren GAN 77 512 0 29 Nov 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,545 0 25 Jan 2016