1 citations · 1 across the 11 of their papers we have counts for
11 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…
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…
HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
Jongbin Lim, Taeyun Ha, Mingi Choi +6
We present HRDexDB, a real-world 4D dexterous grasping dataset capturing 3D hand-object interaction trajectories over time across five embodiments. The dataset comprises 3.2K trial…
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…
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…
HairCUP: Hair Compositional Universal Prior for 3D Gaussian Avatars
Byungjun Kim, Shunsuke Saito, Giljoo Nam +4
We present a universal prior model for 3D head avatars with explicit hair compositionality. Existing approaches to build generalizable priors for 3D head avatars often adopt a holi…
Guess The Unseen: Dynamic 3D Scene Reconstruction from Partial 2D Glimpses
Inhee Lee, Byungjun Kim, Hanbyul Joo
In this paper, we present a method to reconstruct the world and multiple dynamic humans in 3D from a monocular video input. As a key idea, we represent both the world and multiple…
PEGASUS: Personalized Generative 3D Avatars with Composable Attributes
Hyunsoo Cha, Byungjun Kim, Hanbyul Joo
We present PEGASUS, a method for constructing a personalized generative 3D face avatar from monocular video sources. Our generative 3D avatar enables disentangled controls to selec…
GALA: Generating Animatable Layered Assets from a Single Scan
Taeksoo Kim, Byungjun Kim, Shunsuke Saito +1
We present GALA, a framework that takes as input a single-layer clothed 3D human mesh and decomposes it into complete multi-layered 3D assets. The outputs can then be combined with…
Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models
Byungjun Kim, Patrick Kwon, Kwangho Lee +4
We propose a 3D generation pipeline that uses diffusion models to generate realistic human digital avatars. Due to the wide variety of human identities, poses, and stochastic detai…