3 papers
cs.CV2026
Learning Human-Object Interaction for 3D Human Pose Estimation from LiDAR Point Clouds
Daniel Sungho Jung, Dohee Cho, Kyoung Mu Lee
Understanding humans from LiDAR point clouds is one of the most critical tasks in autonomous driving due to its close relationships with pedestrian safety, yet it remains challengi…
cs.CV2026
TeHOR: Text-Guided 3D Human and Object Reconstruction with Textures
Hyeongjin Nam, Daniel Sungho Jung, Kyoung Mu Lee
Joint reconstruction of 3D human and object from a single image is an active research area, with pivotal applications in robotics and digital content creation. Despite recent advan…
cs.CV2025
PARTE: Part-Guided Texturing for 3D Human Reconstruction from a Single Image
Hyeongjin Nam, Donghwan Kim, Gyeongsik Moon +1
The misaligned human texture across different human parts is one of the main limitations of existing 3D human reconstruction methods. Each human part, such as a jacket or pants, sh…