PalGAN: Image Colorization with Palette Generative Adversarial Networks. (arXiv:2210.11204v1 [cs.CV])

Multimodal ambiguity and color bleeding remain challenging in colorization.
To tackle these problems, we propose a new GAN-based colorization approach
PalGAN, integrated with palette estimation and chromatic attention. To
circumvent the multimodality issue, we present a new colorization formulation
that estimates a probabilistic palette from the input gray image first, then
conducts color assignment conditioned on the palette through a generative
model. Further, we handle color bleeding with chromatic attention. It studies
color affinities by considering both semantic and intensity …

arxiv generative adversarial networks image networks palette