Technical Papers

Comics, Texture and Scribbles

Thursday, 29 November 14:15 - 16:00 |  Peridot 201

Structure Extraction from Texture via Relative Total Variation - Picture

Structure Extraction from Texture via Relative Total Variation

A simple but effective algorithm, making use of the Inherent Variation and Relative Total Variation (RTV), to separate texture from main structures in images, drawings, and other artworks. It is a global optimization method with new regularization terms. Many applications in computer graphics and vision can be benefited from it.


Li Xu, Chinese University of Hong Kong
Qiong Yan, Chinese University of Hong Kong
Yang Xia, Chinese University of Hong Kong
Jiaya Jia, Chinese University of Hong Kong


Digital Reconstruction of Halftoned Color Comics - Picture

Digital Reconstruction of Halftoned Color Comics

We introduce a method for automated conversion of scanned color comic books and graphical novels into a new high-fidelity rescalable digital representation


Johannes Kopf, Microsoft Research Redmond
Dani Lischinski, The Hebrew University


Automatic Stylistic Manga Layout - Picture

Automatic Stylistic Manga Layout

We present a technique to automatically generate stylistic manga layout from a set of input artworks with user-specified semantics, which allows less-experienced users to create high-quality manga layouts with minimal efforts.


Ying Cao, City University of Hong Kong
Antoni Chan, City University of Hong Kong
Rynson Lau, City University of Hong Kong


Lazy Selection: A Scribble-based Tool for Smart Shape Elements Selection - Picture

Lazy Selection: A Scribble-based Tool for Smart Shape Elements Selection

A scribble tool is presented for smart shape elements selection. It is applicable to the selection of single or multiple elements of various sizes, tolerant to imprecise input means like touch input, suitable for selecting 2D and 3D elements, and supporting click, scribble and painting selection in a single tool.


Pengfei Xu, Hong Kong University of Science and Technology
Hongbo Fu, City University of Hong Kong
Oscar Kin-Chung Au, City University of Hong Kong
Chiew-Lan Tai, Hong Kong University of Science and Technology