NVAE Generative Residual Cell

Introduced by Vahdat et al. in NVAE: A Deep Hierarchical Variational Autoencoder

The NVAE Generative Residual Cell is a skip connection block used as part of the NVAE architecture for the generator. The residual cell expands the number of channels $E$ times before applying the depthwise separable convolution, and then maps it back to $C$ channels. The design motivation was to help model long-range correlations in the data by increasing the receptive field of the network, which explains the expanding path but also the use of depthwise convolutions to keep a handle on parameter count.

Source: NVAE: A Deep Hierarchical Variational Autoencoder

Latest Papers

PAPER DATE
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection
Liang XuLiying ZhengWeijun LiZhenbo ChenWeishun SongYue DengYongzhe ChangJing XiaoBo Yuan
2021-01-08
NVAE: A Deep Hierarchical Variational Autoencoder
| Arash VahdatJan Kautz
2020-07-08

Tasks

TASK PAPERS SHARE
Image Generation 1 33.33%
Anomaly Detection 1 33.33%
Time Series 1 33.33%

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