4 citations · 5 across the 5 of their papers we have counts for
6 papers
DepthFocus: Controllable Depth Estimation for See-Through Scenes
Junhong Min, Jimin Kim, Minwook Kim +3
Depth in the real world is rarely singular. Transmissive materials create layered ambiguities that confound conventional perception systems. Existing models remain passive; convent…
Tree-Guided Diffusion Planner
Hyeonseong Jeon, Cheolhong Min, Jaesik Park
Planning with pretrained diffusion models has emerged as a promising approach for solving test-time guided control problems. Standard gradient guidance typically performs optimally…
Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied Agents
Byeonghwi Kim, Jinyeon Kim, Yuyeong Kim +2
Accomplishing household tasks requires to plan step-by-step actions considering the consequences of previous actions. However, the state-of-the-art embodied agents often make mista…
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…