Now showing items 1-9 of 9

    • EUROGRAPHICS 2024: CGF 43-2 STARs Frontmatter 

      Aristidou, Andreas; Macdonnell, Rachel (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    • State of the Art on Diffusion Models for Visual Computing 

      Po, Ryan; Yifan, Wang; Golyanik, Vladislav; Aberman, Kfir; Barron, Jon T.; Bermano, Amit; Chan, Eric; Dekel, Tali; Holynski, Aleksander; Kanazawa, Angjoo; Liu, C. Karen; Liu, Lingjie; Mildenhall, Ben; Nießner, Matthias; Ommer, Björn; Theobalt, Christian; Wonka, Peter; Wetzstein, Gordon (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      The field of visual computing is rapidly advancing due to the emergence of generative artificial intelligence (AI), which unlocks unprecedented capabilities for the generation, editing, and reconstruction of images, videos, ...
    • A Survey on Cage-based Deformation of 3D Models 

      Ströter, Daniel; Thiery, Jean-Marc; Hormann, Kai; Chen, Jiong; Chang, Qingjun; Besler, Sebastian; Mueller-Roemer, Johannes Sebastian; Boubekeur, Tamy; Stork, André; Fellner, Dieter W. (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      Interactive deformation via control handles is essential in computer graphics for the modeling of 3D geometry. Deformation control structures include lattices for free-form deformation and skeletons for character articulation, ...
    • Recent Trends in 3D Reconstruction of General Non-Rigid Scenes 

      Yunus, Raza; Lenssen, Jan Eric; Niemeyer, Michael; Liao, Yiyi; Rupprecht, Christian; Theobalt, Christian; Pons-Moll, Gerard; Huang, Jia-Bin; Golyanik, Vladislav; Ilg, Eddy (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      Reconstructing models of the real world, including 3D geometry, appearance, and motion of real scenes, is essential for computer graphics and computer vision. It enables the synthesizing of photorealistic novel views, ...
    • Virtual Instrument Performances (VIP): A Comprehensive Review 

      Kyriakou, Theodoros; Alvarez de la Campa Crespo, Merce; Panayiotou, Andreas; Chrysanthou, Yiorgos; Charalambous, Panayiotis; Aristidou, Andreas (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      Driven by recent advancements in Extended Reality (XR), the hype around the Metaverse, and real-time computer graphics, the transformation of the performing arts, particularly in digitizing and visualizing musical experiences, ...
    • A Survey on Realistic Virtual Human Animations: Definitions, Features and Evaluations 

      Rekik, Rim; Wuhrer, Stefanie; Hoyet, Ludovic; Zibrek, Katja; Olivier, Anne-Hélène (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      Generating realistic animated virtual humans is a problem that has been extensively studied with many applications in different types of virtual environments. However, the creation process of such realistic animations is ...
    • Cues to fast-forward collaboration: A Survey of Workspace Awareness and Visual Cues in XR Collaborative Systems 

      Assaf, Rodrigo; Mendes, Daniel; Rodrigues, Rui (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      Collaboration in extended reality (XR) environments presents complex challenges that revolve around how users perceive the presence, intentions, and actions of their collaborators. This paper delves into the intricate realm ...
    • Snow and Ice Animation Methods in Computer Graphics 

      Goswami, Prashant (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      Snow and ice animation methods are becoming increasingly popular in the field of computer graphics (CG). The applications of snow and ice in CG are varied, ranging from generating realistic background landscapes to avalanches ...
    • Text-to-3D Shape Generation 

      Lee, Hanhung; Savva, Manolis; Chang, Angel Xuan (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      Recent years have seen an explosion of work and interest in text-to-3D shape generation. Much of the progress is driven by advances in 3D representations, large-scale pretraining and representation learning for text and ...