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cs.RO2024
UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping
Wenbo Wang, Fangyun Wei, Lei Zhou +9
We introduce UniGraspTransformer, a universal Transformer-based network for dexterous robotic grasping that simplifies training while enhancing scalability and performance. Unlike…
cs.CV2024★ 2 cited
VisualCritic: Making LMMs Perceive Visual Quality Like Humans
Zhipeng Huang, Zhizheng Zhang, Yiting Lu +3
At present, large multimodal models (LMMs) have exhibited impressive generalization capabilities in understanding and generating visual signals. However, they currently still lack…
cs.CV2024
RelationVLM: Making Large Vision-Language Models Understand Visual Relations
Zhipeng Huang, Zhizheng Zhang, Zheng-Jun Zha +2
The development of Large Vision-Language Models (LVLMs) is striving to catch up with the success of Large Language Models (LLMs), yet it faces more challenges to be resolved. Very…