12 citations · 18 across the 9 of their papers we have counts for
11 papers · 1 filter
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…
MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook
Peng Xu, Shengwu Xiong, Jiajun Zhang +125
This paper reviews the MARS2 2025 Challenge on Multimodal Reasoning. We aim to bring together different approaches in multimodal machine learning and LLMs via a large benchmark. We…
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…
SIGNER: Temporally Grounded Sign Language Generation via Time-Resolved Conditioning
Taeryung Lee, Hyeongjin Nam, Gyeongsik Moon +1
Sign language generation (SLG), also known as text-to-sign generation, aims to bridge the communication gap between signers and non-signers. Unlike many other generative tasks, SLG…
DeClotH: Decomposable 3D Cloth and Human Body Reconstruction from a Single Image
Hyeongjin Nam, Donghwan Kim, Jeongtaek Oh +1
Most existing methods of 3D clothed human reconstruction from a single image treat the clothed human as a single object without distinguishing between cloth and human body. In this…
Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer
Hyeongjin Nam, Daniel Sungho Jung, Gyeongsik Moon +1
Human-object contact serves as a strong cue to understand how humans physically interact with objects. Nevertheless, it is not widely explored to utilize human-object contact infor…
RHOBIN Challenge: Reconstruction of Human Object Interaction
Xianghui Xie, Xi Wang, Nikos Athanasiou +17
Modeling the interaction between humans and objects has been an emerging research direction in recent years. Capturing human-object interaction is however a very challenging task d…
LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes
Jaeyoung Chung, Suyoung Lee, Hyeongjin Nam +2
With the widespread usage of VR devices and contents, demands for 3D scene generation techniques become more popular. Existing 3D scene generation models, however, limit the target…
Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction
Hyeongjin Nam, Daniel Sungho Jung, Yeonguk Oh +1
Despite recent advances in 3D human mesh reconstruction, domain gap between training and test data is still a major challenge. Several prior works tackle the domain gap problem via…
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation
Hongsuk Choi, Hyeongjin Nam, Taeryung Lee +2
Recently, a few self-supervised representation learning (SSL) methods have outperformed the ImageNet classification pre-training for vision tasks such as object detection. However,…
3D Clothed Human Reconstruction in the Wild
Gyeongsik Moon, Hyeongjin Nam, Takaaki Shiratori +1
Although much progress has been made in 3D clothed human reconstruction, most of the existing methods fail to produce robust results from in-the-wild images, which contain diverse…