VAR has gained widespread popularity due to its next-scale prediction paradigm. However, it faces substantial performance bottlenecks when handling complex scenes with multiple objects and attributes. Existing diffusion-based enhancement methods fail to adequately address the unique challenge of cross-scale error propa...
Zhen-Nan Chen, Tianxing Shi, Pengcheng Xu et al.· 0 citations
Face Super-Resolution (FSR) faces a critical challenge in balancing reconstruction quality with computational efficiency when deployed on resource-constrained devices. While existing methods leverage CNNs or transformers, they are constrained by limited receptive fields or high computational complexity. To achieve both...
Yun-Zhe Xu, Chen Zhao, Zhi-Zhou Chen et al.· IEEE Transactions on Image P...· 0 citations
Learning-based memory systems for self-evolving LLM agents face two tightly coupled challenges. First, trajectory-indexed utilities grow with the interaction history, thereby dispersing limited feedback over an ever-expanding state space. Second, because trajectory-level rewards are jointly assigned to co-retrieved mem...
Yi Yang, Zhen-Nan Chen, Yihong Zhuang et al.· 0 citations
VideoX-Qwen, an integrated data-construction and model-training framework for general instruction-based video editing, and a unified Qwen-Wan editor that combines multimodal semantic conditioning with dense source-video latent guidance provide a practical foundation for more capable instruction-driven video editing.
J.Jenny Li, Di Shao, Xin-Yu Chen et al.· 0 citations
This work conceptualize Agent-Centric Interactive World Proxies, shifting the fundamental paradigm from physical state transitions to agent-usable information transitions, such as execution outcomes, retrieved experiences or skills, and verification signals, broadening the scope of world modeling to provide versatile f...
Yu Yang, Xuemeng Yang, Licheng Wen et al.· 0 citations
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