Video quality assessment (VQA) is an important problem in computer vision. The videos in
computer vision applications are usually captured in the wild. We focus on automatically …

Despite excellent progress in recent years, mode collapse remains a major unsolved
problem in generative adversarial networks (GANs). In this paper, we present spectral …

Semantic segmentation can be regarded as a useful tool for global scene understanding in
many areas, including sports, but has inherent difficulties, such as the need for pixel-wise …

State-of-the-art methods for diminished reality propagate pixel information from a keyframe
to subsequent frames for real-time inpainting. However, these approaches produce artifacts …

Quality assessment and aesthetics assessment aim to evaluate the perceived quality and
aesthetics of visual content. Current learning-based methods suffer greatly from the scarcity …

Abstract The task of No-Reference Image Quality Assessment (NR-IQA) is to estimate the
quality score of an input image without additional information. NR-IQA models play a crucial …

Recent advances in text-to-image models have opened new frontiers in human-centric
generation. However, these models cannot be directly employed to generate images with …

Image-based head swapping task aims to stitch a source head to another source body
flawlessly. This seldom-studied task faces two major challenges: 1) Preserving the head and …

Existing NR-IIQA (no reference-based inpainted image quality assessment) algorithms
assess the quality of an inpainted image via artificially designed unnaturalness expression …

V rámci bakalářské práce byla vytvořena desktopová aplikace na dokreslování obrazu.
Hlavním cílem této aplikace je možnost interaktivního vytváření masky nad vstupním …