Browsing by Author "Yang, Jimei"

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    • Brush Stroke Synthesis with a Generative Adversarial Network Driven by Physically Based Simulation 

      Wu, Rundong; Chen, Zhili; Wang, Zhaowen; Yang, Jimei; Marschner, Steve (ACM, 2018)
      We introduce a novel approach that uses a generative adversarial network (GAN) to synthesize realistic oil painting brush strokes, where the network is trained with data generated by a high-fidelity simulator. Among ...

    • Contact and Human Dynamics from Monocular Video 

      Rempe, Davis; Guibas, Leonidas J.; Hertzmann, Aaron; Russell, Bryan; Villegas, Ruben; Yang, Jimei (The Eurographics Association, 2020)
      Existing methods for human motion from video predict 2D and 3D poses that are approximately accurate, but contain visible errors that violate physical constraints, such as feet penetrating the ground and bodies leaning at ...

    • Learning to Trace: Expressive Line Drawing Generation from Photographs 

      Inoue, Naoto; Ito, Daichi; Xu, Ning; Yang, Jimei; Price, Brian; Yamasaki, Toshihiko (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In this paper, we present a new computational method for automatically tracing high-resolution photographs to create expressive line drawings. We define expressive lines as those that convey important edges, shape contours, ...

    • Single-image Full-body Human Relighting 

      Lagunas, Manuel; Sun, Xin; Yang, Jimei; Villegas, Ruben; Zhang, Jianming; Shu, Zhixin; Masia, Belen; Gutierrez, Diego (The Eurographics Association, 2021)
      We present a single-image data-driven method to automatically relight images with full-body humans in them. Our framework is based on a realistic scene decomposition leveraging precomputed radiance transfer (PRT) and ...

    • Statistics-based Motion Synthesis for Social Conversations 

      Yang, Yanzhe; Yang, Jimei; Hodgins, Jessica (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Plausible conversations among characters are required to generate the ambiance of social settings such as a restaurant, hotel lobby, or cocktail party. In this paper, we propose a motion synthesis technique that can rapidly ...