10 papers · 1 filter
SceneX: Procedural Controllable Large-scale Scene Generation
Mengqi Zhou, Yuxi Wang, Jun Hou +5
Developing comprehensive explicit world models is crucial for understanding and simulating real-world scenarios. Recently, Procedural Controllable Generation (PCG) has gained signi…
CityX: Controllable Procedural Content Generation for Unbounded 3D Cities
Shougao Zhang, Mengqi Zhou, Yuxi Wang +5
Urban areas, as the primary human habitat in modern civilization, accommodate a broad spectrum of social activities. With the surge of embodied intelligence, recent years have witn…
StableMoFusion: Towards Robust and Efficient Diffusion-based Motion Generation Framework
Yiheng Huang, Hui Yang, Chuanchen Luo +5
Thanks to the powerful generative capacity of diffusion models, recent years have witnessed rapid progress in human motion generation. Existing diffusion-based methods employ dispa…
FG-MDM: Towards Zero-Shot Human Motion Generation via ChatGPT-Refined Descriptions
Xu Shi, Wei Yao, Chuanchen Luo +3
Recently, significant progress has been made in text-based motion generation, enabling the generation of diverse and high-quality human motions that conform to textual descriptions…
OOD-HOI: Text-Driven 3D Whole-Body Human-Object Interactions Generation Beyond Training Domains
Yixuan Zhang, Hui Yang, Chuanchen Luo +3
Generating realistic 3D human-object interactions (HOIs) from text descriptions is a active research topic with potential applications in virtual and augmented reality, robotics, a…
OWL: A Large Language Model for IT Operations
Hongcheng Guo, Jian Yang, Jiaheng Liu +13
With the rapid development of IT operations, it has become increasingly crucial to efficiently manage and analyze large volumes of data for practical applications. The techniques o…