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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…
Learning to Generate Human-Human-Object Interactions from Textual Descriptions
Jeonghyeon Na, Sangwon Baik, Inhee Lee +2
The way humans interact with each other, including interpersonal distances, spatial configuration, and motion, varies significantly across different situations. To enable machines…
Text-Guided 6D Object Pose Rearrangement via Closed-Loop VLM Agents
Sangwon Baik, Gunhee Kim, Mingi Choi +1
Vision-Language Models (VLMs) exhibit strong visual reasoning capabilities, yet they still struggle with 3D understanding. In particular, VLMs often fail to infer a text-consistent…
SimuScene: Simulation-Ready Compositional 3D Scene Reconstruction from a Single Image
Inhee Lee, Sangwon Baik, Sungjoo Kim +3
Reconstructing interactive, simulation-ready 3D scenes from a single image is a critical bottleneck for robotic manipulation. While recent single-image lifters recover plausible pe…
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…