Image inpainting is an important research direction in the study of computer vision, and is
widely used in image editing and photo inpainting etc. Traditional image inpainting …

Since early 2020, the COVID-19 pandemic has had a considerable impact on many aspects
of daily life. A range of different measures have been implemented worldwide to reduce the …

As an emerging species of artificial intelligence, deep generative learning models can
generate an unprecedented variety of new outputs. Examples include the creation of music …

In this paper, a novel deep learning-based image inpainting framework consisting of
restoring image structure and reconstructing image details from corrupted images is …

Existing face completion solutions are primarily driven by end-to-end models that directly
generate 2D completions of 2D masked faces. By having to implicitly account for geometric …

Özet Son zamanlarda, derin öğrenme temelli birçok yaklaşım, görüntü sınıflandırması, nesne
algılama, biyometrik tanı, görüntü tamamlama veya iç boyama, anlamsal ve örnek bölütleme …

The goal of this paper is 3D shape completion: given an incomplete instance of a known
category, hallucinate a complete version of it that is geometrically plausible. We develop an …

This paper proposes a classifier designed for human facial feature annotation, which is
capable of running on relatively cheap, low power consumption autonomous microcomputer …