1 citations · 1 across the 4 of their papers we have counts for
6 papers
Event-Driven Storytelling with Multiple Lifelike Humans in a 3D Scene
Donggeun Lim, Jinseok Bae, Inwoo Hwang +3
In this work, we propose a framework that creates a lively virtual dynamic scene with contextual motions of multiple humans. Generating multi-human contextual motion requires holis…
Versatile Physics-based Character Control with Hybrid Latent Representation
Jinseok Bae, Jungdam Won, Donggeun Lim +2
We present a versatile latent representation that enables physically simulated character to efficiently utilize motion priors. To build a powerful motion embedding that is shared a…
Motion Synthesis with Sparse and Flexible Keyjoint Control
Inwoo Hwang, Jinseok Bae, Donggeun Lim +1
Creating expressive character animations is labor-intensive, requiring intricate manual adjustment of animators across space and time. Previous works on controllable motion generat…
PMP: Learning to Physically Interact with Environments using Part-wise Motion Priors
Jinseok Bae, Jungdam Won, Donggeun Lim +2
We present a method to animate a character incorporating multiple part-wise motion priors (PMP). While previous works allow creating realistic articulated motions from reference da…
Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video
Jinseok Bae, Hojun Jang, Cheol-Hui Min +2
We present Neural Marionette, an unsupervised approach that discovers the skeletal structure from a dynamic sequence and learns to generate diverse motions that are consistent with…
GATSBI: Generative Agent-centric Spatio-temporal Object Interaction
Cheol-Hui Min, Jinseok Bae, Junho Lee +1
We present GATSBI, a generative model that can transform a sequence of raw observations into a structured latent representation that fully captures the spatio-temporal context of t…