Estimating Image Depth in the Comics Domain. (arXiv:2110.03575v2 [cs.CV] UPDATED)

Estimating the depth of comics images is challenging as such images a) are
monocular; b) lack ground-truth depth annotations; c) differ across different
artistic styles; d) are sparse and noisy. We thus, use an off-the-shelf
unsupervised image to image translation method to translate the comics images
to natural ones and then use an attention-guided monocular depth estimator to
predict their depth. This lets us leverage the depth annotations of existing
natural images to train the depth estimator. Furthermore, our model …

arxiv comics cv image