Large language models (LLMs) are increasingly deployed as agents for multi-step decision-making, yet transfer poorly to unseen environments. World-model methods address this by training agents to predict future observations, at the cost of additional training and errors that compound when predictions are used for plann...
Yu-Han Guo, Jin-Ming Liu, Liang Xu et al.· 0 citations
Recent diffusion-based pipelines have achieved promising progress in image-to-3D synthesis. However, generating high-fidelity details remains challenging, especially when the input image contains rich details. Existing approaches often rely on globally encoded conditioning features, which compress spatial information a...
Jun-Yu Li, Qiu-Yu Chen, Peng-Cheng Wang et al.· 0 citations
Large language models (LLMs) are increasingly deployed as agents for multi-step decision-making, yet transfer poorly to unseen environments. World-model methods address this by training agents to predict future observations, at the cost of additional training and errors that compound when predictions are used for plann...
Yu-Han Guo, Jin-Ming Liu, Liang Xu et al.· 0 citations
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