7 papers
HOPE: Hand-Object Pressure Estimation from Monocular Videos
Subin Jeon, Byungjun Kim, Hanbyul Joo
Estimating physical pressure from vision is essential for understanding contact-rich hand-object interaction. However, prior vision-based pressure estimation methods are largely li…
Robot-Factored World Models via Robot Rendering
Byungjun Kim, Taeksoo Kim, Hyunsoo Cha +1
Action-conditioned video world models predict future observations from an initial observation and an action signal. In robotics, actions influence future observations through two d…
HRDexDB: A Paired Human-Robot Dataset for Cross-Embodiment Dexterous Grasping
Jongbin Lim, Taeyun Ha, Mingi Choi +4
We present HRDexDB, a paired cross-embodiment dexterous grasping dataset of high-fidelity dexterous grasping sequences featuring both human and diverse robotic hands. Unlike existi…
Vanast: Virtual Try-On with Human Image Animation via Synthetic Triplet Supervision
Hyunsoo Cha, Wonjung Woo, Byungjun Kim +1
We present Vanast, a unified framework that generates garment-transferred human animation videos directly from a single human image, garment images, and a pose guidance video. Conv…
Durian: Dual Reference Image-Guided Portrait Animation with Attribute Transfer
Hyunsoo Cha, Byungjun Kim, Hanbyul Joo
We present Durian, the first method for generating portrait animation videos with cross-identity attribute transfer from one or more reference images to a target portrait. Training…
Dexterous World Models
Byungjun Kim, Taeksoo Kim, Junyoung Lee +1
Recent progress in 3D reconstruction has made it easy to create realistic digital twins from everyday environments. However, current digital twins remain largely static and are lim…