This paper presents a stylized novel view synthesis method. Applying state-of-the-art
stylization methods to novel views frame by frame often causes jittering artifacts due to the …

In recent years, there has been increasing interest in applying stylization on 3D scenes from
a reference style image, in particular onto neural radiance fields (NeRF). While performing …

When stylizing 3D scenes, current methods need to render the full-resolution images from
different views and use the style loss, which is proposed for 2D style transfer and needs to …

Fast style transfer methods have recently gained popularity in art-related applications as
they make a generalized real-time stylization of images practicable. However, they are …

The paradigm of image-to-image translation is leveraged for the benefit of sketch stylization
via transfer of geometric textural details. Lacking the necessary volumes of data for standard …

Style transfer is an application that has increased interest, primarily because of the
impressive results obtained using neural networks. However, this application demands a lot …

We present StyleTune, a mobile app for interactive multi-level control of neural style
transfers that facilitates creative adjustments of style elements and enables high output …

We present StyleTune, a mobile app for interactive style transfer enhancement that enables
global and spatial control over stroke elements and can generate high fidelity outputs. The …

This paper presents an approach for permitting the restyling of an application by automatic
analysis of a considered image. The approach relies on the analysis of color distribution …