The Invertible 1x1 Convolution is a type of convolution used in flow-based generative models that reverses the ordering of channels. The weight matrix is initialized as a random rotation matrix. The log-determinant of an invertible 1 × 1 convolution of a $h \times w \times c$ tensor $h$ with $c \times c$ weight matrix $\mathbf{W}$ is straightforward to compute:
$$ \log | \text{det}\left(\frac{d\text{conv2D}\left(\mathbf{h};\mathbf{W}\right)}{d\mathbf{h}}\right) | = h \cdot w \cdot \log | \text{det}\left(\mathbf{W}\right) | $$
Source: Glow: Generative Flow with Invertible 1x1 ConvolutionsPaper | Code | Results | Date | Stars |
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Image Dehazing | 2 | 8.70% |
Image Enhancement | 2 | 8.70% |
Speech Synthesis | 2 | 8.70% |
Pseudo Label | 1 | 4.35% |
Offline RL | 1 | 4.35% |
Text-To-Speech Synthesis | 1 | 4.35% |
Transliteration | 1 | 4.35% |
Benchmarking | 1 | 4.35% |
Molecular Docking | 1 | 4.35% |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |