Now showing items 99-118 of 208

    • Japanese Kanji Font Style Transfer based on GAN with Unpaired Training 

      Sakai, Hiroki; Niino, Daisuke; Ijiri, Takashi (The Eurographics Association, 2018)
      To design a whole package of Japanese font is labor consuming, since it usually contains about 30k kanji characters. To support an efficient design process, this poster attempts to adopt a style transfer algorithm for font ...
    • 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 ...
    • Light-Field DVR on GPU for Streaming Time-Varying Data 

      Ganter, David; Alain, Martin; Hardman, David; Smolic, Aljosa; Manzke, Michael (The Eurographics Association, 2018)
      Direct Volume Rendering (DVR) of volume data can be a memory intensive task in terms of footprint and cache-coherency. Rayguided methods may not be the best option to interactively render to light-fields due to feedback ...
    • Light-Guided Tree Modeling of Diverse Biomorphs 

      Yi, Lei; Li, Hongjun; Guo, Jianwei; Deussen, Oliver; Zhang, Xiaopeng (The Eurographics Association, 2015)
      Creation of tree models faithful to light environment is an important task in computer graphics as well as in botanical research, such as horticulture and forestry. In this paper, we propose an approach to model virtual ...
    • Local Detail Enhancement for Volume Rendering under Global Illumination 

      Zheng, Jinta; Zhang, Tianjin; Qin, Jing (The Eurographics Association, 2016)
      We present a novel method for realistic perception enhanced volume rendering. Compared with traditional lighting systems, that either tend to eliminate important local shapes and details in volume data or cannot offer ...
    • Local Positional Encoding for Multi-Layer Perceptrons 

      Fujieda, Shin; Yoshimura, Atsushi; Harada, Takahiro (The Eurographics Association, 2023)
      A multi-layer perceptron (MLP) is a type of neural networks which has a long history of research and has been studied actively recently in computer vision and graphics fields. One of the well-known problems of an MLP is ...
    • LPaintB: Learning to Paint from Self-Supervision 

      Jia, Biao; Brandt, Jonathan; Mech, Radomír; Kim, Byungmoon; Manocha, Dinesh (The Eurographics Association, 2019)
      We present a novel reinforcement learning-based natural media painting algorithm. Our goal is to reproduce a reference image using brush strokes and we encode the objective through observations. Our formulation takes into ...
    • 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 ...
    • Mesh Parameterization: a Viewpoint from Constant Mean Curvature Surfaces 

      Zhao, Hui; Su, Kehua; Li, Chenchen; Zhang, Boyu; Liu, Shirao; Yang, Lei; Lei, Na; Gortler, Steven J.; Gu, Xianfeng (The Eurographics Association, 2018)
      We present a unified mesh paramterization algorithm for both planar and spheric domains based on mesh deformation. Unlike previous methods, our approach can produce intermediate frames from the original to target meshes. ...
    • Modal Space Subdivision for Physically-plausible 4D Shape Sequence Completion from Sparse Samples 

      Xia, Qing; Li, Shuai; Qin, Hong; Hao, Aimin (The Eurographics Association, 2015)
      Subdivision techniques are powerful and ubiquitous in generating smooth surfaces from coarse 3D polygonal models, yet space-time subdivision remains unexplored when the goal is to produce dense physically-realistic shape ...
    • Modeling Detailed Cloud Scene from Multi-source Images 

      Cen, Yunchi; Liang, Xiaohui; Chen, Junping; Yang, Bailin; Li, Frederick W. B. (The Eurographics Association, 2018)
      Realistic cloud is essential for enhancing the quality of computer graphics applications, such as flight simulation. Data-driven method is an effective way in cloud modeling, but existing methods typically only utilize one ...
    • Modeling Large Scale Clouds from Satellite Images 

      Yuan, Chunqiang; Liang, Xiaohui; Hao, Shiyu; Yang, Guang (The Eurographics Association, 2013)
      Visualization of satellite cloud images plays an important role in atmosphere analysis and weather prediction. However, reconstruction of meaningful 3D clouds is a challenging problem due to the 2D nature of the input data. ...
    • Modified Filtered Importance Sampling for Virtual Spherical Gaussian Lights 

      Tokuyoshi, Yusuke (The Eurographics Association, 2016)
      This paper proposes a modification of the filtered importance sampling (FIS) method, and improves the quality of virtual spherical Gaussian light (VSGL) based real-time glossy indirect illumination using this modification. ...
    • Monocular 3D Fluid Volume Reconstruction Based on a Multilayer External Force Guiding Model 

      Su, Zhiyuan; Nie, Xiaoying; Shen, Xukun; Hu, Yong (The Eurographics Association, 2020)
      In this paper, we present a monocular 3D fluid volume reconstruction technique that can alleviate challenging parameter tuning while vividly reproducing the inflow and outflow of the video scene. To reconstruct the geometric ...
    • 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 ...
    • Multi-scale Monocular Panorama Depth Estimation 

      Mohadikar, Payal; Fan, Chuanmao; Zhao, Chenxi; Duan, Ye (The Eurographics Association, 2023)
      Panorama images are widely used for scene depth estimation as they provide comprehensive scene representation. The existing deep-learning monocular panorama depth estimation networks produce inconsistent, discontinuous, ...
    • Multi-Stage Degradation and Content Embedding Fusion for Blind Super-Resolution 

      Zhang, Haiyang; Jiang, Mengyu; Liu, Liang (The Eurographics Association, 2023)
      To achieve promising results on blind image super-resolution (SR), some Unsupervised Degradation Prediction (UDP) methods narrow the domain gap between the degradation embedding space and the SR feature space by fusing the ...
    • 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 ...
    • 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 ...
    • Non-rigid 3D Shape Retrieval via Sparse Representation 

      Wan, Lili; Li, Shuai; Miao, Zhenjiang J.; Cen, Yigang G. (The Eurographics Association, 2013)
      Shape descriptor design is an important but challenging problem for non-rigid 3D shape retrieval. Recently, bagof- words based methods are widely used to integrate a model's local shape descriptors into a global histogram. ...