Transformer encoder architectures have recently achieved state-of-the-art results on
monocular 3D human mesh reconstruction, but they require a substantial number of …

The recent work known as Segment Anything (SA) has made significant strides in pushing
the boundaries of semantic segmentation into the era of foundation models. The impact of …

State-of-the-art parametric and non-parametric style transfer approaches are prone to either
distorted local style patterns due to global statistics alignment, or unpleasing artifacts …

This paper presents an unpaired method for creating line drawings from photographs.
Current methods often rely on high quality paired datasets to generate line drawings …

The creation or manipulation of facial appearance through deep generative approaches,
known as DeepFake, have achieved significant progress and promoted a wide range of …

Generating images from hand-drawings is a crucial and fundamental task in content
creation. The translation is difficult as there exist infinite possibilities and the different users …

Image rasterization is a mature technique in computer graphics, while image vectorization,
the reverse path of rasterization, remains a major challenge. Recent ad-vanced deep …

Controllable image synthesis with user scribbles has gained huge public interest with the
recent advent of text-conditioned latent diffusion models. The user scribbles control the color …

With the development of the theory and technology of computer science, machine or
computer painting is increasingly being explored in the creation of art. Machine-made works …

Exploring good generalization ability is essential in deep metric learning (DML). Most
existing DML methods focus on improving the model robustness against category shift to …