In this paper we explore the unique modality of sketch for explainability emphasising the
profound impact of human strokes compared to conventional pixel-oriented studies. Beyond …

In this paper we democratise caricature generation empowering individuals to effortlessly
craft personalised caricatures with just a photo and a conceptual sketch. Our objective is to …

In this paper we democratise 3D content creation enabling precise generation of 3D shapes
from abstract sketches while overcoming limitations tied to drawing skills. We introduce a …

Using 2D sketches as input is an intuitive way to create 3D models. However, accurately
sketching freeform strokes by hand from a reference drawing can be time-consuming and …

We propose EVOlutionary Selector (EVOS), an efficient training paradigm for accelerating
Implicit Neural Representation (INR). Unlike conventional INR training that feeds all samples …

We propose symmetric power transformation to enhance the capacity of Implicit Neural
Representation~(INR) from the perspective of data transformation. Unlike prior work utilizing …

Image rendering from line drawings is vital in design and image generation technologies
reduce costs, yet professional line drawings demand preserving complex details. Text …

This paper presents VQ-SGen, a novel algorithm for high-quality sketch generation. Recent
approaches have often framed the task as pixel-based generation either as a whole or part …