We propose a neural style transfer method for colored point clouds which allows stylizing the geometry and/or color property of a point cloud from another. The stylization is achieved by manipulating the content representations and Gram-based style representations extracted from a pretrained PointNet-based classification network for colored point clouds. As Gram-based style representation is invariant to the number or the order of points, the style can also be an image in the case of stylizing the color property of a point cloud by merely treating the image as a set of pixels. Experimental results and analysis demonstrate the capability of the proposed method for stylizing a point cloud either from another point cloud or an image.

Article Free Access Share on The world through the computer: computer augmented interaction with real world environments Authors: Jun Rekimoto Sony Computer Science Laboratory Inc., Takanawa Muse Building, 3-14-13, Higashi-gotanda, Shinagawa-ku, Tokyo 141 Japan Sony Computer Science Laboratory Inc., Takanawa Muse Building, 3-14-13, Higashi-gotanda, Shinagawa-ku, Tokyo 141 JapanView Profile , Katashi Nagao Sony Computer Science Laboratory Inc., Takanawa Muse Building, 3-14-13, Higashi-gotanda, Shinagawa-ku, Tokyo 141 Japan Sony Computer Science Laboratory Inc., Takanawa Muse Building, 3-14-13, Higashi-gotanda, Shinagawa-ku, Tokyo 141 JapanView Profile Authors Info & Claims UIST '95: Proceedings of the 8th annual ACM symposium on User interface and software technologyDecember 1995 Pages 29–36https://doi.org/10.1145/215585.215639Published:01 December 1995Publication History 258citation3,948DownloadsMetricsTotal Citations258Total Downloads3,948Last 12 Months334Last 6 weeks44 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

Human face-to-face conversation is an ideal model for human-computer dialogue.One of the major features of face-to-face communication is its multiplicity of communication channels that act on multiple modalities.To realize a natural multimodal dialogue, it is necessary to study how humans perceive information and determine the information to which humans are sensitive.A face is an independent communication channel that conveys emotional and conversational signals, encoded as facial expressions.We have developed an experimental system that integrates speech dialogue and facial animation, to investigate the effect of introducing communicative facial expressions as a new modality in human-computer conversation.Our experiments have showen that facial expressions are helpful, especially upon first contact with the system.We have also discovered that featuring facial expressions at an early stage improves subsequent interaction.