Now showing items 3275-3294 of 17315

    • Deep Video Stabilization Using Adversarial Networks 

      Xu, Sen-Zhe; Hu, Jun; Wang, Miao; Mu, Tai-Jiang; Hu, Shi-Min (The Eurographics Association and John Wiley & Sons Ltd., 2018)
      Video stabilization is necessary for many hand-held shot videos. In the past decades, although various video stabilization methods were proposed based on the smoothing of 2D, 2.5D or 3D camera paths, hardly have there been ...
    • Deep Video-Based Performance Cloning 

      Aberman, Kfir; Shi, Mingyi; Liao, Jing; Lischinski, Dani; Chen, Baoquan; Cohen-Or, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a new video-based performance cloning technique. After training a deep generative network using a reference video capturing the appearance and dynamics of a target actor, we are able to generate videos where ...
    • Deep Video-Based Performance Synthesis from Sparse Multi-View Capture 

      Chen, Mingjia; Wang, Changbo; Liu, Ligang (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a deep learning based technique that enables novel-view videos of human performances to be synthesized from sparse multi-view captures. While performance capturing from a sparse set of videos has received ...
    • Deep-Eyes: Fully Automatic Anime Character Colorization with Painting of Details on Empty Pupils 

      Akita, Kenta; Morimoto, Yuki; Tsuruno, Reiji (The Eurographics Association, 2020)
      Many studies have recently applied deep learning to the automatic colorization of line drawings. However, it is difficult to paint empty pupils using existing methods because the networks are trained with pupils that have ...
    • Deep-learning Alignment for Handheld 3D Acquisitions: A new Densematch Dataset for an Extended Comparison 

      Lombardi, Marco; Savardi, Mattia; Signoroni, Alberto (The Eurographics Association, 2020)
      Promising solutions for the alignment of 3D views based on representation learning approaches have been proposed very recently. The potentials of these solutions that could positively affect the 3D object registration has ...
    • Deep-learning the Latent Space of Light Transport 

      Hermosilla, Pedro; Maisch, Sebastian; Ritschel, Tobias; Ropinski, Timo (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We suggest a method to directly deep-learn light transport, i. e., the mapping from a 3D geometry-illumination-material configuration to a shaded 2D image. While many previous learning methods have employed 2D convolutional ...
    • DeepBRDF: A Deep Representation for Manipulating Measured BRDF 

      Hu, Bingyang; Guo, Jie; Chen, Yanjun; Li, Mengtian; Guo, Yanwen (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Effective compression of densely sampled BRDF measurements is critical for many graphical or vision applications. In this paper, we present DeepBRDF, a deep-learning-based representation that can significantly reduce the ...
    • A Deeper Understanding of Visualization-Text Interplay in Geographic Data-driven Stories 

      Latif, Shahid; Chen, Siming; Beck, Fabian (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Data-driven stories comprise of visualizations and a textual narrative. The two representations coexist and complement each other. Although existing research has explored the design strategies and structure of such stories, ...
    • DeepGarment: 3D Garment Shape Estimation from a Single Image 

      Danerek, Radek; Dibra, Endri; Öztireli, A. Cengiz; Ziegler, Remo; Gross, Markus (The Eurographics Association and John Wiley & Sons Ltd., 2017)
      3D garment capture is an important component for various applications such as free-view point video, virtual avatars, online shopping, and virtual cloth fitting. Due to the complexity of the deformations, capturing 3D ...
    • DeepIron: Predicting Unwarped Garment Texture from a Single Image 

      Kwon, Hyun-Song; Lee, Sung-Hee (The Eurographics Association, 2024)
      Realistic reconstruction of 3D clothing from an image has wide applications, such as avatar creation and virtual try-on. This paper presents a novel framework that reconstructs the texture map for 3D garments from a single ...
    • DeepProp: Extracting Deep Features from a Single Image for Edit Propagation 

      Endo, Yuki; Iizuka, Satoshi; Kanamori, Yoshihiro; Mitani, Jun (The Eurographics Association and John Wiley & Sons Ltd., 2016)
      Edit propagation is a technique that can propagate various image edits (e.g., colorization and recoloring) performed via user strokes to the entire image based on similarity of image features. In most previous work, users ...
    • DEFEND THE WALLS! SERIOUS GAME for the valorisation of the walls of the ancient city of Paestum 

      Rufa, Claudio; Forlani, Massimiliano; Pietroni, Eva; Antinucci, Francesco; Rescic, Leonardo (IEEE, 2015)
      Protect the walls! is a serious game that deals with the technology and tactics of siege of the IV century BC, the war machines and the strategies of attack and defense, the architectural characteristics of the towers and ...
    • Deferred Adaptive Compute Shading 

      Mallett, Ian; Yuksel, Cem (ACM, 2018)
      A primary advantage of deferred shading is eliminating wasted shading operations due to overdraw. We present a new algorithm that we call Deferred Adaptive Compute Shading, for providing further reduction in shading ...
    • Deferred Attribute Interpolation for Memory-Efficient Deferred Shading 

      Schied, Christoph; Dachsbacher, Carsten (ACM Siggraph, 2015)
      In this work we present a novel approach to deferred shading suitable for high resolution displays and high visibility sampling rates. We reduce the memory costs of deferred shading by substituting the geometry buffer with ...
    • A Deferred Rendering Pipeline Including a Global Illumination Model for Atmospheric Scattering and Transparency 

      Heppner, S.; Dransfeld, M.; Domik, G. (The Eurographics Association, 2016)
      Abstract This poster presents suitable global illumination models for atmospheric scattering in outdoor scenes combined with a deferred rendering pipeline which offers the possibility of rendering transparent objects. The ...
    • Deferred Shading for Order-Independent Transparency 

      Hillesland, Karl E.; Bilodeau, Bill; Thibieroz, Nicolas (The Eurographics Association, 2014)
      Rendering many layers of transparency presents difficult challenges with respect to performance. Most previous work focused on the sorting problem, paying the full shading cost for all fragments. We present a method that ...
    • Deferred Splatting 

      Guennebaud, Gael; Barthe, Loic; Paulin, Mathias (The Eurographics Association and Blackwell Publishing, Inc, 2004)
      In recent years it has been shown that, above a certain complexity, points become the most efficient rendering primitives. Although the programmability of the lastest graphics hardware allows efficient implementation of ...
    • Deferred, Self-Organizing BSP Trees 

      Ar, Sigal; Montag, Gil; Tal, Ayellet (Blackwell Publishers, Inc and the Eurographics Association, 2002)
      bsptrees and KD trees are fundamental data structures for collision detection in walkthrough environments. A basic issue in the construction of these hierarchical data structures is the choice of cutting planes. Rather ...
    • Definição de Cenários para o Desenho e Avaliação de Interfaces para Dispositivos Móveis 

      Sá, Marco de; Carriço, Luís (The Eurographics Association, 2021)
      Este artigo apresenta os resultados de um conjunto de experiências de desenvolvimento de aplicações móveis.Começamos por descrever as dificuldades que emergiram durante os estágios de recolha e análise de dados, prototipagem ...
    • Definição de Modelos Gráficos 2D e 3D a partir de Imagens Digitalizadas 

      Carvalho, Carlos; Branco, Vasco; Ferreira, F. Nunes (The Eurographics Association, 2023)
      ---