• DFGA: Digital Human Faces Generation and Animation from the RGB Video using Modern Deep Learning Technology 

  Jiang, Diqiong; You, Lihua; Chang, Jian; Tong, Ruofeng (The Eurographics Association, 2022)

  High-quality and personalized digital human faces have been widely used in media and entertainment, from film and game production to virtual reality. However, the existing technology of generating digital faces requires ...

• DARC: A Visual Analytics System for Multivariate Applicant Data Aggregation, Reasoning and Comparison 

  Hou, Yihan; Liu, Yu; Wang, He; Zhang, Zhichao; Li, Yue; Liang, Hai-Ning; Yu, Lingyun (The Eurographics Association, 2022)

  People often make decisions based on their comprehensive understanding of various materials, judgement of reasons, and comparison among choices. For instance, when hiring committees review multivariate applicant data, they ...

• Adaptive and Dynamic Regularization for Rolling Guidance Image Filtering 

  Fukatsu, Miku; Yoshizawa, Shin; Takemura, Hiroshi; Yokota, Hideo (The Eurographics Association, 2022)

  Separating shapes and textures of digital images at different scales is useful in computer graphics. The Rolling Guidance (RG) filter, which removes structures smaller than a specified scale while preserving salient edges, ...

• Aesthetic Enhancement via Color Area and Location Awareness 

  Yang, Bailin; Wang, Qingxu; Li, Frederick W. B.; Liang, Xiaohui; Wei, Tianxiang; Zhu, Changrui (The Eurographics Association, 2022)

  Choosing a suitable color palette can typically improve image aesthetic, where a naive way is choosing harmonious colors from some pre-defined color combinations in color wheels. However, color palettes only consider the ...

• Shadow Removal via Cascade Large Mask Inpainting 

  Kim, Juwan; Kim, Seung-Heon; Jang, Insung (The Eurographics Association, 2022)

  We present a novel shadow removal framework based on the image inpainting approach. The proposed method consists of two cascade Large-Mask inpainting(LaMa) networks for shadow inpainting and edge inpainting. Experiments ...

• Improving View Independent Rendering for Multiview Effects 

  Gavane, Ajinkya; Watson, Benjamin (The Eurographics Association, 2022)

  This paper describes improvements to view independent rendering (VIR) that make it much more useful for multiview effects. Improved VIR's (iVIR's) soft shadows are nearly identical in quality to VIR's and produced with ...

• Reconstructing Bounding Volume Hierarchies from Memory Traces of Ray Tracers 

  Buelow, Max von; Stensbeck, Tobias; Knauthe, Volker; Guthe, Stefan; Fellner, Dieter W. (The Eurographics Association, 2022)

  The ongoing race to improve computer graphics leads to more complex GPU hardware and ray tracing techniques whose internal functionality is sometimes hidden to the user. Bounding volume hierarchies and their construction ...

• Intersection Distance Field Collision for GPU 

  Krayer, Bastian; Görge, Rebekka; Müller, Stefan (The Eurographics Association, 2022)

  We present a framework for finding collision points between objects represented by signed distance fields. Particles are used to sample the region where intersections can occur. The distance field representation is used ...

• Interactive Deformable Image Registration with Dual Cursor 

  Igarashi, Takeo; Koike, Tsukasa; Kin, Taichi (The Eurographics Association, 2022)

  Deformable image registration is the process of deforming a target image to match corresponding features of a reference image. Fully automatic registration remains difficult; thus, manual registration is dominant in practice. ...

• An Interactive Modeling System of Japanese Castles with Decorative Objects 

  Umeyama, Shogo; Dobashi, Yoshinori (The Eurographics Association, 2022)

  We present an interactive modeling system for Japanese castles. We develop an user interface that can generate the fundamental structure of the castle tower consisting of stone walls, turrets, and roofs. By clicking on the ...

• Human Face Modeling based on Deep Learning through Line-drawing 

  Kawanaka, Yuta; Sato, Syuhei; Sakurai, Kaisei; Gao, Shangce; Tang, Zheng (The Eurographics Association, 2022)

  This paper presents a deep learning-based method for creating 3D human face models. In recent years, several sketch-based shape modeling methods have been proposed. These methods allow the user to easily model various ...

• Multi-instance Referring Image Segmentation of Scene Sketches based on Global Reference Mechanism 

  Ling, Peng; Mo, Haoran; Gao, Chengying (The Eurographics Association, 2022)

  Scene sketch segmentation based on referring expression plays an important role in sketch editing of anime industry. While most existing referring image segmentation approaches are designed for the standard task of generating ...

• Pacific Graphics 2022 - Short Papers, Posters, and Work-in-Progress Papers: Frontmatter 

  Yang, Yin; Parakkat, Amal D.; Deng, Bailin; Noh, Seung-Tak (The Eurographics Association, 2022)

• Learning a Style Space for Interactive Line Drawing Synthesis from Animated 3D Models 

  Wang, Zeyu; Wang, Tuanfeng Y.; Dorsey, Julie (The Eurographics Association, 2022)

  Most non-photorealistic rendering (NPR) methods for line drawing synthesis operate on a static shape. They are not tailored to process animated 3D models due to extensive per-frame parameter tuning needed to achieve the ...

• GANST: Gradient-aware Arbitrary Neural Style Transfer 

  Zhu, Haichao (The Eurographics Association, 2021)

  Artistic style transfer synthesizes a stylized image with content from a target image and style from an art image. The latest neural style transfer leverages texture distributions as style information, and applies the style ...

• Real-time Content Projection onto a Tunnel from a Moving Subway Train 

  Kim, Jaedong; Eom, Haegwang; Kim, Jihwan; Kim, Younghui; Noh, Junyong (The Eurographics Association, 2021)

  In this study, we present the first actual working system that can project content onto a tunnel wall from a moving subway train so that passengers can enjoy the display of digital content through a train window. To ...

• Constraint Synthesis for Parametric CAD 

  Mathur, Aman; Zufferey, Damien (The Eurographics Association, 2021)

  Parametric CAD, in conjunction with 3D-printing, is democratizing design and production pipelines. End-users can easily change parameters of publicly available designs, and 3D-print the customized objects. In research and ...

• Hierarchical Link and Code: Efficient Similarity Search for Billion-Scale Image Sets 

  Yang, Kaixiang; Wang, Hongya; Du, Ming; Wang, Zhizheng; Tan, Zongyuan; Xiao, Yingyuan (The Eurographics Association, 2021)

  Similarity search is an indispensable component in many computer vision applications. To index billions of images on a single commodity server, Douze et al. introduced L&C that works on operating points considering 64-128 ...

• User-centred Depth Estimation Benchmarking for VR Content Creation from Single Images 

  Dickson, Anthony; Knott, Alistair; Zollmann, Stefanie (The Eurographics Association, 2021)

  The capture and creation of 3D content from a device equipped with just a single RGB camera has a wide range of applications ranging from 3D photographs and panoramas to 3D video. Many of these methods rely on depth ...

• Volumetric Video Streaming Data Reduction Method Using Front-mesh 3D Data 

  Zhao, Xiaotian; Okuyama, Takafumi (The Eurographics Association, 2021)

  Volumetric video contents are attracting much attention across various industries for their six-degrees-of-freedom (6DoF) viewing experience. However, in terms of streaming, volumetric video contents still present challenges ...

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