output
20192025
most citedCharacter Controllers Using Motion VAEs

264 citations

7 papers

cs.HC2025

Revival: Collaborative Artistic Creation through Human-AI Interactions in Musical Creativity

Keon Ju M. Lee, Philippe Pasquier, Jun Yuri

Revival is an innovative live audiovisual performance and music improvisation by our artist collective K-Phi-A, blending human and AI musicianship to create electronic music with a…

cs.CV2024★ 1 cited

Evaluating the Evaluators: Towards Human-aligned Metrics for Missing Markers Reconstruction

Taras Kucherenko, Derek Peristy, Judith Bütepage

Animation data is often obtained through optical motion capture systems, which utilize a multitude of cameras to establish the position of optical markers. However, system errors o…

cs.GR2023★ 4 cited

Filter-adapted spatiotemporal sampling for real-time rendering

William Donnelly, Alan Wolfe, Judith Bütepage +1

Stochastic sampling techniques are ubiquitous in real-time rendering, where performance constraints force the use of low sample counts, leading to noisy intermediate results. To re…

cs.GR2023★ 3 cited

Rig Inversion by Training a Differentiable Rig Function

Mathieu Marquis Bolduc, Hau Nghiep Phan

Rig inversion is the problem of creating a method that can find the rig parameter vector that best approximates a given input mesh. In this paper we propose to solve this problem b…

cs.SE2022★ 6 cited

SUPERNOVA: Automating Test Selection and Defect Prevention in AAA Video Games Using Risk Based Testing and Machine Learning

Alexander Senchenko, Naomi Patterson, Hamman Samuel +1

Testing video games is an increasingly difficult task as traditional methods fail to scale with growing software systems. Manual testing is a very labor-intensive process, and ther…

cs.LG2021★ 264 cited

Character Controllers Using Motion VAEs

Hung Yu Ling, Fabio Zinno, George Cheng +1

A fundamental problem in computer animation is that of realizing purposeful and realistic human movement given a sufficiently-rich set of motion capture clips. We learn data-driven…