Spatially Sparse Inference for Generative Image Editing 352 Supplementary Material 353 A Additional Implementation Details

Neural Information Processing Systems 

We omit the element-wise operations for simplicity and follow the notations in Section 3 . As mentioned in Section 3.2, we fuse Note that the pre-computation is cheap and only needs to be once for each resolution. We elaborate more details on how we build the synthetic editing dataset. Figure 7 (a) shows some examples of our synthetic editing on LSUN Church. The detailed distribution is shown in Figure 8a .

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