• 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 ...

• SDALIE-GAN: Structure and Detail Aware GAN for Low-light Image Enhancement 

  Pang, Youxin; Yuan, Mengke; Chang, Yuchun; Yan, Dong-Ming (The Eurographics Association, 2021)

  We present a GAN-based network architecture for low-light image enhancement, called Structure and Detail Aware Low-light Image Enhancement GAN (SDALIE-GAN), which is trained with unpaired low/normal-light images. Specifically, ...

• Peripheral Vision in Simulated Driving: Comparing CAVE and Head-mounted Display 

  Tanoi, Tana; Dodgson, Neil A. (The Eurographics Association, 2021)

  Peripheral vision is widely thought to be important but is not provided in the majority of head-mounted displays (HMD). We investigate whether peripheral vision is important in a simulated driving task. Our hypothesis is ...

• View-Dependent Impostors for Architectural Shape Grammars 

  Jia, Chao; Roth, Moritz; Kerbl, Bernhard; Wimmer, Michael (The Eurographics Association, 2021)

  Procedural generation has become a key component in satisfying a growing demand for ever-larger, highly detailed geometry in realistic, open-world games and simulations. In this paper, we present our work towards a new ...

• Temporally Stable Content-Adaptive and Spatio-Temporal Shading Rate Assignment for Real-Time Applications 

  Stappen, Stefan; Unterguggenberger, Johannes; Kerbl, Bernhard; Wimmer, Michael (The Eurographics Association, 2021)

  We propose two novel methods to improve the efficiency and quality of real-time rendering applications: Texel differential-based content-adaptive shading (TDCAS) and spatio-temporally filtered adaptive shading (STeFAS). ...

• Cloud-Assisted Hybrid Rendering for Thin-Client Games and VR Applications 

  Tan, Yu Wei; Kim-Chan, Louiz; Halim, Anthony; Bhojan, Anand (The Eurographics Association, 2021)

  We introduce a novel distributed rendering approach to generate high-quality graphics in thin-client games and VR applications. Many mobile devices have limited computational power to achieve ray tracing in real-time. ...

• 3D-CariNet: End-to-end 3D Caricature Generation from Natural Face Images with Differentiable Renderer 

  Huang, Meijia; Dai, Ju; Pan, Junjun; Bai, Junxuan; Qin, Hong (The Eurographics Association, 2021)

  Caricatures are an artistic representation of human faces to express satire and humor. Caricature generation of human faces is a hotspot in CG research. Previous work mainly focuses on 2D caricatures generation from face ...

• SM-NET: Reconstructing 3D Structured Mesh Models from Single Real-World Image 

  Yu, Yue; Li, Ying; Zhang, Jing-Yu; Yang, Yue (The Eurographics Association, 2021)

  Image-based 3D structured model reconstruction enables the network to learn the missing information between the dimensions and understand the structure of the 3D model. In this paper, SM-NET is proposed in order to reconstruct ...

• Art-directing Appearance using an Environment Map Latent Space 

  Petikam, Lohit; Chalmers, Andrew; Anjyo, Ken; Rhee, Taehyun (The Eurographics Association, 2021)

  In look development, environment maps (EMs) are used to verify 3D appearance in varied lighting (e.g., overcast, sunny, and indoor). Artists can only assign one fixed material, making it laborious to edit appearance uniquely ...

• Neural Screen Space Rendering of Direct Illumination 

  Suppan, Christian; Chalmers, Andrew; Zhao, Junhong; Doronin, Alex; Rhee, Taehyun (The Eurographics Association, 2021)

  Neural rendering is a class of methods that use deep learning to produce novel images of scenes from more limited information than traditional rendering methods. This is useful for information scarce applications like mixed ...

• Neural Proxy: Empowering Neural Volume Rendering for Animation 

  Sin, Zackary P. T.; Ng, Peter H. F.; Leong, Hong Va (The Eurographics Association, 2021)

  Achieving photo-realistic result is an enticing proposition for the computer graphics community. Great progress has been achieved in the past decades, but the cost of human expertise has also grown. Neural rendering is a ...

• Human Motion Synthesis and Control via Contextual Manifold Embedding 

  Zeng, Rui; Dai, Ju; Bai, Junxuan; Pan, Junjun; Qin, Hong (The Eurographics Association, 2021)

  Modeling motion dynamics for precise and rapid control by deterministic data-driven models is challenging due to the natural randomness of human motion. To address it, we propose a novel framework for continuous motion ...

• Maximum-Clearance Planar Motion Planning Based on Recent Developments in Computing Minkowski Sums and Voronoi Diagrams 

  Jung, Mingyu; Kim, Myung-Soo (The Eurographics Association, 2021)

  We present a maximum-clearance motion planning algorithm for planar geometric models with three degrees of freedom (translation and rotation). This work is based on recent developments in real-time algorithms for computing ...

• CSLF: Cube Surface Light Field and Its Sampling, Compression, Real-Time Rendering 

  Ai, Xiaofei; Wang, Yigang; Kou, Simin (The Eurographics Association, 2021)

  Light field is gaining both research and commercial interests since it has the potential to produce view-dependent and photorealistic effects for virtual and augmented reality. In this paper, we further explore the light ...

• Real-Time Antialiased Area Lighting Using Multi-Scale Linearly Transformed Cosines 

  Tao, Chengzhi; Guo, Jie; Gong, Chen; Wang, Beibei; Guo, Yanwen (The Eurographics Association, 2021)

  We present an anti-aliased real-time rendering method for local area lights based on Linearly Transformed Cosines (LTCs). It significantly reduces the aliasing artifacts of highlights reflected from area lights due to ...

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