Deep learning techniques, especially Generative Adversarial Networks (GANs) have significantly improved image inpainting and image-to-image translation tasks over the past few years. To the best of our knowledge, the problem of combining the image inpainting task with the multi-modality image-to-image translation remains intact. In this paper, we propose a model to address this problem. The model will be evaluated on combined night-to-day image translation and inpainting, along with promising qualitative and quantitative results.
翻译:在过去几年里,深层学习技术,特别是创造反影网络(GANs)大大改进了图像油漆和图像到图像的翻译任务,据我们所知,将图像油漆任务与多式图像到图像翻译相结合的问题仍然完好无损,在本文件中,我们提出了一个解决这一问题的模式,该模型将结合夜间图像翻译和图像到图像翻译,以及有希望的质量和数量结果来评估。