6 papers
Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments
Xianhui Meng, Zirui Song, Yuchen Zhang +10
Large Language Models (LLMs) have demonstrated remarkable capabilities in 3D indoor synthesis for Manhattan environments. However, existing methods often fail to capture plausible…
Robust 3D Alignment of Generative Reconstructions via Partial Monocular Observations
Yuchen Zhang, Luanyuan Dai, Yiwei Wang +7
Aligning generative 3D reconstructions with partial monocular observations is a critical but under-explored challenge in computer vision. This task is inherently ill-posed due to s…
DICArt: Advancing Category-level Articulated Object Pose Estimation in Discrete State-Spaces
Li Zhang, Mingyu Mei, Ailing Wang +7
Articulated object pose estimation is a core task in embodied AI. Existing methods typically regress poses in a continuous space, but often struggle with 1) navigating a large, com…
PRPO: Aligning Process Reward with Outcome Reward in Policy Optimization
Ruiyi Ding, Yongxuan Lv, Xianhui Meng +4
Policy optimization for large language models often suffers from sparse reward signals in multi-step reasoning tasks. Critic-free methods like GRPO assign a single normalized outco…
DSBench: A Comprehensive Benchmark for Evaluating External and In-Cabin Risks
Xianhui Meng, Yuchen Zhang, Zhijian Huang +12
Vision-Language Models (VLMs) show great promise for autonomous driving, but their suitability for safety-critical scenarios is largely unexplored, raising safety concerns. This is…
Exploring Category-level Articulated Object Pose Tracking on SE(3) Manifolds
Xianhui Meng, Yukang Huo, Li Zhang +6
Articulated objects are prevalent in daily life and robotic manipulation tasks. However, compared to rigid objects, pose tracking for articulated objects remains an underexplored p…