ICLR 2021 Submission: Deeper VAEs Excel on Natural Image Benchmarks | Synced
ICLR 2021 submitted paper proposes efficient VAEs that outperform PixelCNN-based autoregressive models in log-likelihood on natural image benchmarks.
- computer vision & graphics
- machine learning & data science
- computer vision
- iclr 2021
- image processing
Source: Synced | AI Technology & Industry Review
ICLR 2021 submitted paper proposes efficient VAEs that outperform PixelCNN-based autoregressive models in log-likelihood on natural image benchmarks.