Browsing EG 2022 - STARs (CGF 41-2) by Title

Now showing items 1-8 of 8

    • Advances in Neural Rendering 

      Tewari, Ayush; Thies, Justus; Mildenhall, Ben; Srinivasan, Pratul; Tretschk, Edith; Wang, Yifan; Lassner, Christoph; Sitzmann, Vincent; Martin-Brualla, Ricardo; Lombardi, Stephen; Simon, Tomas; Theobalt, Christian; Nießner, Matthias; Barron, Jon T.; Wetzstein, Gordon; Zollhöfer, Michael; Golyanik, Vladislav (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Synthesizing photo-realistic images and videos is at the heart of computer graphics and has been the focus of decades of research. Traditionally, synthetic images of a scene are generated using rendering algorithms such ...

    • Authoring Virtual Crowds: A Survey 

      Lemonari, Marilena; Blanco, Rafael; Charalambous, Panayiotis; Pelechano, Nuria; Avraamides, Marios; Pettré, Julien; Chrysanthou, Yiorgos (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Recent advancements in crowd simulation unravel a wide range of functionalities for virtual agents, delivering highly-realistic, natural virtual crowds. Such systems are of particular importance to a variety of applications ...

    • EUROGRAPHICS 2022: CGF 41-2 STARs Frontmatter 

      Meneveaux, Daniel; Patanè, Giuseppe (The Eurographics Association and John Wiley & Sons Ltd., 2022)

    • Neural Fields in Visual Computing and Beyond 

      Xie, Yiheng; Takikawa, Towaki; Saito, Shunsuke; Litany, Or; Yan, Shiqin; Khan, Numair; Tombari, Federico; Tompkin, James; Sitzmann, Vincent; Sridhar, Srinath (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Recent advances in machine learning have led to increased interest in solving visual computing problems using methods that employ coordinate-based neural networks. These methods, which we call neural fields, parameterize ...

    • State-of-the-Art in the Architecture, Methods and Applications of StyleGAN 

      Bermano, Amit Haim; Gal, Rinon; Alaluf, Yuval; Mokady, Ron; Nitzan, Yotam; Tov, Omer; Patashnik, Or; Cohen-Or, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Generative Adversarial Networks (GANs) have established themselves as a prevalent approach to image synthesis. Of these, StyleGAN offers a fascinating case study, owing to its remarkable visual quality and an ability to ...

    • A Survey of Non-Rigid 3D Registration 

      Deng, Bailin; Yao, Yuxin; Dyke, Roberto M.; Zhang, Juyong (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Non-rigid registration computes an alignment between a source surface with a target surface in a non-rigid manner. In the past decade, with the advances in 3D sensing technologies that can measure time-varying surfaces, ...

    • A Survey on Reinforcement Learning Methods in Character Animation 

      Kwiatkowski, Ariel; Alvarado, Eduardo; Kalogeiton, Vicky; Liu, C. Karen; Pettré, Julien; Panne, Michiel van de; Cani, Marie-Paule (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Reinforcement Learning is an area of Machine Learning focused on how agents can be trained to make sequential decisions, and achieve a particular goal within an arbitrary environment. While learning, they repeatedly take ...

    • A Survey on SPH Methods in Computer Graphics 

      Koschier, Dan; Bender, Jan; Solenthaler, Barbara; Teschner, Matthias (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Throughout the past decades, the graphics community has spent major resources on the research and development of physics simulators on the mission to computer-generate behaviors achieving outstanding visual effects or to ...