5 papers
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…
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…
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…