AvatarizeMe: A Fast Software Tool for Transforming Selfies into Animatable Lifelike Avatars Using Machine Learning

Simple item page
dc.contributor.authorManfredi, Gildaen_US
dc.contributor.authorCapece, Nicolaen_US
dc.contributor.authorErra, Ugoen_US
dc.contributor.editorBanterle, Francescoen_US
dc.contributor.editorCaggianese, Giuseppeen_US
dc.contributor.editorCapece, Nicolaen_US
dc.contributor.editorErra, Ugoen_US
dc.contributor.editorLupinetti, Katiaen_US
dc.contributor.editorManfredi, Gildaen_US
dc.date.accessioned2023-11-12T15:37:42Z
dc.date.available2023-11-12T15:37:42Z
dc.date.issued2023
dc.description.abstractCreating realistic avatars that faithfully replicate facial features from single-input images is a challenging task in computer graphics, virtual communication, and interactive entertainment. These avatars have the potential to revolutionize virtual experiences by enhancing user engagement and personalization. However, existing methods, such as 3D facial capture systems, are costly and complex. Our approach adopts the 3D Morphable Face Model (3DMM) method to create avatars with remarkably realistic features in a bunch of seconds, using only a single input image. Our method extends beyond facial shape resemblance; it meticulously generates both facial and bodily textures, enhancing overall likeness. Within Unreal Engine 5, our avatars come to life with real-time body and facial animations. This is made possible through a versatile skeleton for body and head movements and a suite of 52 face blendshapes, enabling the avatar to convey emotions and expressions with fidelity. This poster presents our approach, bridging the gap between reality and virtual representation, and opening doors to immersive virtual experiences with lifelike avatars.en_US
dc.description.sectionheadersPoster Session
dc.description.seriesinformationSmart Tools and Applications in Graphics - Eurographics Italian Chapter Conference
dc.identifier.doi10.2312/stag.20231304
dc.identifier.isbn978-3-03868-235-6
dc.identifier.issn2617-4855
dc.identifier.pages153-155
dc.identifier.pages3 pages
dc.identifier.urihttps://doi.org/10.2312/stag.20231304
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/stag20231304
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies -> Computer vision; Machine learning; Parametric curve and surface models; Texturing
dc.subjectComputing methodologies
dc.subjectComputer vision
dc.subjectMachine learning
dc.subjectParametric curve and surface models
dc.subjectTexturing
dc.titleAvatarizeMe: A Fast Software Tool for Transforming Selfies into Animatable Lifelike Avatars Using Machine Learningen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
153-155.pdf
Size:
3.4 MB
Format:
Adobe Portable Document Format
Download
Collections
Italian Chapter Conference 2023 - Smart Tools and Apps in Graphics