f3bfbd65743e60c685a3845bd61ce15f-Supplemental-Conference.pdf

Neural Information Processing Systems 

L-CAD: Language-basedThe tricColorizationycle on the left is red, and the tricycle on the right is orange. We leverage a referring segmentation model to roughly estimate object contours mentioned in the ur description, which enables us to perform the instance-aware sampling strategy. Othe robustness of our model, we manually annotate a sequence of contours ranging from coarse to fine and visualize the corresponding colorization results. As shown in Figure 8, our model presents aG remarkable ability to produce condition-consistent colorization results even using imprecise contours. This is because the sampling is performed in the latent space using downsampled contours and the compression decoder in the pixel space could adaptively fix color bleeding issues.

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