no code implementations • 31 Jan 2025 • YuChen Lin, Chenguo Lin, Jianjin Xu, Yadong Mu
Comprehensive experiments demonstrate that OmniPhysGS achieves more general and realistic physical dynamics across a broader spectrum of materials, including elastic, viscoelastic, plastic, and fluid substances, as well as interactions between different materials.
no code implementations • 5 Jan 2025 • YuChen Lin, Yong Zhang, Sihan Feng, Hong Zhao
Advancing artificial intelligence demands a deeper understanding of the mechanisms underlying deep learning.
1 code implementation • 10 Jul 2024 • Chenguo Lin, YuChen Lin, Panwang Pan, Xuanyang Zhang, Yadong Mu
The proposed semantic graph prior learns layout appearances and object distributions simultaneously, demonstrating versatility across various downstream tasks in a zero-shot manner.
no code implementations • 10 Jul 2024 • Jiang Wu, Dongyu Liu, YuChen Lin, Yingcai Wu
To address this issue, we propose a ``manager-worker'' framework to unleash the full potential of contextual information and construct CATP model, an implementation of the framework for Context-Aware Trajectory Prediction.
no code implementations • 21 Jun 2024 • Xuan He, Dongfu Jiang, Ge Zhang, Max Ku, Achint Soni, Sherman Siu, Haonan Chen, Abhranil Chandra, Ziyan Jiang, Aaran Arulraj, Kai Wang, Quy Duc Do, Yuansheng Ni, Bohan Lyu, Yaswanth Narsupalli, Rongqi Fan, Zhiheng Lyu, YuChen Lin, Wenhu Chen
The main barrier is the lack of large-scale human-annotated dataset.
no code implementations • 14 Feb 2024 • Yutaro Yamada, Khyathi Chandu, YuChen Lin, Jack Hessel, Ilker Yildirim, Yejin Choi
In this paper, we propose a language agent with chain-of-3D-thoughts (L3GO), an inference-time approach that can reason about part-based 3D mesh generation of unconventional objects that current data-driven diffusion models struggle with.