3 papers
cs.CV2026
Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving
Yang Wu, Qiang Meng, Zhaojiang Liu +3
Current end-to-end autonomous driving models are fundamentally constrained by the behavioral cloning ceiling of imitation learning. While reinforcement learning offers a path to sm…
cs.CV2026
Bézier Degradation Modeling for LiDAR-based Human Motion Capture
Xiaoqi An, Lin Zhao, Jun Li +2
LiDAR-based 3D human motion capture has broad applications in fields such as autonomous driving and robotics, where accurate motion reconstruction is crucial. However, existing met…
cs.CV2026
Self-Creative Text-to-Object Generation using Semantic-Aware Spatial Weighting
Yue Yu, Haibo Chen, Shuo Chen +2
Instilling creativity in text-to-image (T2I) generation presents a significant challenge, as it requires synthesized images to exhibit not only visual novelty and surprise, but als…