5 papers
RAM: Recover Any 3D Human Motion in-the-Wild
Sen Jia, Ning Zhu, Jinqin Zhong +4
RAM incorporates a motion-aware semantic tracker with adaptive Kalman filtering to achieve robust identity association under severe occlusions and dynamic interactions. A memory-au…
3DSceneEditor: Controllable 3D Scene Editing with Gaussian Splatting
Ziyang Yan, Yihua Shao, Minwen Liao +7
The creation of 3D scenes has traditionally been both labor-intensive and costly, requiring designers to meticulously configure 3D assets and environments. Recent advancements in g…
UniHPR: Unified Human Pose Representation via Singular Value Contrastive Learning
Zhongyu Jiang, Wenhao Chai, Lei Li +3
In recent years, there has been a growing interest in developing effective alignment pipelines to generate unified representations from different modalities for multi-modal fusion…
Human Motion Instruction Tuning
Lei Li, Sen Jia, Jianhao Wang +6
This paper presents LLaMo (Large Language and Human Motion Assistant), a multimodal framework for human motion instruction tuning. In contrast to conventional instruction-tuning ap…
Graph Canvas for Controllable 3D Scene Generation
Libin Liu, Shen Chen, Sen Jia +6
Spatial intelligence is foundational to AI systems that interact with the physical world, particularly in 3D scene generation and spatial comprehension. Current methodologies for 3…