Now showing items 61-80 of 208

    • Fast and Lightweight Path Guiding Algorithm on GPU 

      Kim, Juhyeon; Kim, Young Min (The Eurographics Association, 2021)
      We propose a simple, yet practical path guiding algorithm that runs on GPU. Path guiding renders photo-realistic images by simulating the iterative bounces of rays, which are sampled from the radiance distribution. The ...
    • Pacific Graphics 2021 - Short Papers, Posters, and Work-in-Progress Papers: Frontmatter 

      Lee, Sung-Hee; Zollmann, Stefanie; Okabe, Makoto; Wünsche, Burkhard (The Eurographics Association, 2021)
    • Stroke Synthesis for Inbetweening of Rough Line Animations 

      Chen, Jiazhou; Zhu, Xinding; Bénard, Pierre; Barla, Pascal (The Eurographics Association, 2020)
      In this paper, we present a stroke synthesis approach for the inbetweening of rough line animations. In pre-process, keyframe strokes are transformed by local perturbation and sliding to generate a number of candidate ...
    • Day-to-Night Road Scene Image Translation Using Semantic Segmentation 

      Baek, Seung Youp; Lee, Sungkil (The Eurographics Association, 2020)
      We present a semi-automated framework that translates day-time domain road scene images to those for the night-time domain. Unlike recent studies based on the Generative Adversarial Networks (GANs), we avoid learning for ...
    • RTSDF: Generating Signed Distance Fields in Real Time for Soft Shadow Rendering 

      Tan, Yu Wei; Chua, Nicholas; Koh, Clarence; Bhojan, Anand (The Eurographics Association, 2020)
      Signed Distance Fields (SDFs) for surface representation are commonly generated offline and subsequently loaded into interactive applications like games. Since they are not updated every frame, they only provide a rigid ...
    • Reconstructing Monte Carlo Errors as a Blue-noise in Screen Space 

      Liu, Hongli; Han, Honglei (The Eurographics Association, 2020)
      We present a novel method that reconstructs the Monte Carlo errors of renderings as a blue-noise in screen space. To this end, we conform the statistic result of per-pixel integration to a precomputed blue-noise mask. ...
    • Using Landmarks for Near-Optimal Pathfinding on the CPU and GPU 

      Reischl, Maximilian; Knauer, Christian; Guthe, Michael (The Eurographics Association, 2020)
      We present a new approach for path finding in weighted graphs using pre-computed minimal distance fields. By selecting the most promising minimal distance field at any given node and switching between them, our algorithm ...
    • Interactive Video Completion with SiamMask 

      Tsubota, Satsuki; Okabe, Makoto (The Eurographics Association, 2020)
      In this project, we are developing a method to quickly and easily perform video completion. Under the proposed method, the user specifies a target object by drawing a bounding box around it in the first frame of the video; ...
    • Simple Simulation of Curved Folds Based on Ruling-aware Triangulation 

      Sasaki, Kosuke; Mitani, Jun (The Eurographics Association, 2020)
      Folding a thin sheet material such as paper along curves creates a developable surface composed of ruled surface patches. When using such surfaces in design, designers often repeat a process of folding along curves drawn ...
    • 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 ...
    • A Robust Feature-aware Sparse Mesh Representation 

      Fuentes Perez, Lizeth Joseline; Romero Calla, Luciano Arnaldo; Montenegro, Anselmo Antunes; Mura, Claudio; Pajarola, Renato (The Eurographics Association, 2020)
      The sparse representation of signals defined on Euclidean domains has been successfully applied in signal processing. Bringing the power of sparse representations to non-regular domains is still a challenge, but promising ...
    • A Deep Learning Based Interactive Sketching System for Fashion Images Design 

      Li, Yao; Yu, Xiang Gang; Han, Xiao Guang; Jiang, Nian Juan; Jia, Kui; Lu, Jiang Bo (The Eurographics Association, 2020)
      In this work, we propose an interactive system to design diverse high-quality garment images from fashion sketches and the texture information. The major challenge behind this system is to generate high-quality and detailed ...
    • Pacific Graphics 2020 - Short Papers, Posters, and Work-in-Progress Papers: Frontmatter 

      Lee, Sung-hee; Zollmann, Stefanie; Okabe, Makoto; Wuensche, Burkhard (The Eurographics Association, 2020)
    • An Energy-Conserving Hair Shading Model Based on Neural Style Transfer 

      Qiao, Zhi; Kanai, Takashi (The Eurographics Association, 2020)
      We present a novel approach for shading photorealistic hair animation, which is the essential visual element for depicting realistic hairs of virtual characters. Our model is able to shade high-quality hairs quickly by ...
    • Illumination Space: A Feature Space for Radiance Maps 

      Chalmers, Andrew; Zickler, Todd; Rhee, Taehyun (The Eurographics Association, 2020)
      Radiance maps (RM) are used for capturing the lighting properties of real-world environments. Databases of RMs are useful for various rendering applications such as Look Development, live action composition, mixed reality, ...
    • 3D Human Body Skeleton Extraction from Consecutive Surfaces 

      Zhang, Yong; Tan, Fei; Wang, Shaofan; Kong, Dehui; Yin, Baocai (The Eurographics Association, 2019)
      Extracting human body skeletons from consecutive surfaces is an important research topic in the fields of computer graphics and human computer interaction, especially in posture estimation and skeleton animation. Current ...
    • Feature Curve Network Extraction via Quadric Surface Fitting 

      Zhengda, Lu; Guo, Jianwei; Xiao, Jun; Wang, Ying; Zhang, Xiaopeng; Yan, Dong-Ming (The Eurographics Association, 2019)
      Feature curves on 3D shapes provide a high dimensional representation of the geometry and reveal their underlying structure. In this paper, we present an automatic approach for extracting complete feature curve networks ...
    • External Forces Guided Fluid Surface and Volume Reconstruction from Monocular Video 

      Nie, Xiaoying; Hu, Yong; Su, Zhiyuan; Shen, Xukun (The Eurographics Association, 2019)
      We propose a novel method to reconstruct fluid's volume movement and surface details from just a monocular video for the first time. Although many monocular video-based reconstruction methods have been developed, the ...
    • 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 ...
    • Towards Biomechanically and Visually Plausible Volumetric Cutting Simulation of Deformable Bodies 

      Qian, Yinling; Huang, Wenbin; Si, Weixin; Liao, Xiangyun; Wang, Qiong; Heng, Pheng-Ann (The Eurographics Association, 2019)
      Due to the simplicity and high efficiency, composited finite element method(CFEM) based virtual cutting attracted much attention in the field of virtual surgery in recent years. Even great progress has been made in volumetric ...