Executable programs offer explicit control over how images and videos are constructed, but generating runnable code is only the beginning of visual creation. A program can execute correctly while violating the requested composition, appearance, or motion. We define this discrepancy as the Program-to-Visual (P2V) gap an...
Hao-Yu Zhao, Zi-Hao Zhang, Xu-Dong Wang et al.· 0 citations
This work introduces RoboSkill, a framework that connects skill acquisition and reuse through an Explore, Execute, Evolve loop, and complements vision with tactile feedback to reduce uncertainty during physical interaction and augment textual guidance with reusable code to reduce reasoning overhead during skill reuse.
Si-Cheng Xie, Yi-Tong Chen, Hai-Dong Cao et al.· 0 citations
A critique-in-the-loop self-improvement method that incorporates critique-based supervision into the actor’s self-training process and improves the actor’s exploration efficiency and solution diversity, especially on challenging queries, leading to a stronger actor model.
Zhi-Heng Xi, Dingwen Yang, Jixuan Huang et al.· Proceedings of the Thirty-Fi...· 0 citations
SegDiff, a closed-loop visuomotor policy that decomposes demonstrations into motion segments between keyposes and learns to predict the continuous trajectory from the current state to the next keypose, enabling long-horizon prediction with real-time refinement.
Hai-Dong Cao, Wenjun Cao, Quanhao Li et al.· arXiv.org· 0 citations
HandEdit serves as a critical resource at the intersection of image editing and robotics: it advances embodiment-aware editing models while enabling scalable dexterous robotic learning from abundant human video data, paving the way for more generalizable Embodied AI.
Zhen-Jie Yang, Xingyu Jiao, Guopeng Zhong et al.· 5 citations
VLZip is introduced, a framework that unifies visual and textual compression for high-fidelity reasoning within a pure Transformer, and establishes an efficient and powerful new standard for long-context multimodal AI.
Yu-Qi Zhang, Cheng Chen, Yuyu Guo et al.· 0 citations
The UniCam framework is proposed, a unified framework that introduces a temporally coherent stochastic representation, termed CameraNoise, warped from camera intrinsic and extrinsic parameters, which significantly outperforms prior methods in both fidelity and controllability.
Haoyu Zhao, Zuxuan Wu, Yu-Gang Jiang· International Journal of Com...· 0 citations
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