3 papers
cs.AI2025
Learning Skills from Action-Free Videos
Hung-Chieh Fang, Kuo-Han Hung, Chu-Rong Chen +7
Learning from videos offers a promising path toward generalist robots by providing rich visual and temporal priors beyond what real robot datasets contain. While existing video gen…
cs.CV2025
PromptTea: Let Prompts Tell TeaCache the Optimal Threshold
Zishen Huang, Chunyu Yang, Mengyuan Ren
Despite recent progress in video generation, inference speed remains a major bottleneck. A common acceleration strategy involves reusing model outputs via caching mechanisms at fix…
cs.LG2024
Diffusion Imitation from Observation
Bo-Ruei Huang, Chun-Kai Yang, Chun-Mao Lai +2
Learning from observation (LfO) aims to imitate experts by learning from state-only demonstrations without requiring action labels. Existing adversarial imitation learning approach…