Presentation

<
Iterative Motion Editing With Natural Language
SessionCharacter Animation From Data
DescriptionWe present a method for using natural language to iteratively and conversationally specify local edits to existing character animations. Our key idea is to represent a space of motion edits using a set of operators that have well-defined semantics for how to modify specific frames of a target motion.
Authors
Purvi Goel
Stanford University
Kuan-Chieh Wang
Snap
C. Karen Liu
Stanford University
Kayvon Fatahalian
Stanford University
Event Type
Technical Paper
TimeWednesday, 31 July 202411:35am - 11:45am MDT
LocationMile High 4
ACM Digital Library Journal Papers' PDFs
Conference Papers' PDFs
Session Time & Location
Sunday, 28 July 20246:00pm - 8:45pm MDTBluebird Ballroom
Wednesday, 31 July 202410:45am - 12:15pm MDTMile High 4
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Keywords
Animation
Registration Categories
Full Conference
Full Conference Supporter
Virtual Access
Exhibitor Full Conference
Wednesday
Next PresentationNext PresentationCharacter Animation From Data - Interactive Discussion