Abstract Machine learning has become the state-of-the-art technique for many tasks
including computer vision, natural language processing, speech processing tasks, etc …

We present Habitat 3.0: a simulation platform for studying collaborative human-robot tasks in
home environments. Habitat 3.0 offers contributions across three dimensions:(1) Accurate …

With the rapid development of cartoon industry, various studies on two-dimensional (2D)
cartoon have been proposed for different application scenarios, such as quality assessment …

Image colorization has a wide range of applications, but it remains a challenging task due to
it is an inherently ill-posed problem with multi-modal uncertainty. The advancement of deep …

Advances in deep neural networks (DNNs) have fostered a wide spectrum of intelligent
mobile applications ranging from voice assistants on smartphones to augmented reality with …

Story visualization, the task of creating visual narratives from textual descriptions, has seen
progress with text-to-image generation models. However, these models often lack effective …

Generating comics through text is widely studied. However, there are few studies on
generating multi-panel Manga (Japanese comics) solely based on plain text. Japanese …

Manga screening is a critical process in manga production, which still requires intensive
labor and cost. Existing manga screening methods either generate simple dotted …

Given two images of different anime roles, anime style recognition (ASR) aims to learn
abstract painting style to determine whether the two images are from the same work, which …

Adding screentone to initial line drawings is a crucial step for manga generation, but is a
tedious and human‐laborious task. In this work, we propose a novel data‐driven method …