AI agents have emerged as a powerful new paradigm in generative image synthesis, enabling systems to perform complex semantic reasoning rather than passive pixel-level mapping. In pose-guided human generation, conventional methods inevitably produce severe visual artifacts under drastic viewpoint shifts, fundamentally...
Hao-Tian Yang, Zhi-Le Yang, Hui-Yu Zhou et al.· 1 citation
Aiming at the multi-objective optimization problem of dynamic economic emission dispatch (DEED) considering plug-in electric vehicles (PEVs), this paper proposes an improved multi-objective grey wolf optimizer (IMGWO) to simultaneously minimize power generation costs and pollutant emissions. Traditional economic dispat...
Pose-guided human image generation aims to synthesize an image of a target person based on a reference image and a target pose. Although diffusion-based methods have recently achieved significant progress in pose alignment and visual realism, generating high-fidelity images in regions involving complex pose interaction...
Juncheng Zhu, Haotian Yang, Mubai Li et al.· Electronics· 0 citations
Simulation evidence is provided that preserving a nominal behavioral prior while regulating bounded residual correction through critic disagreement improves three-finger grasping robustness under physical-domain variation.
Juncheng Zhu, Zhan Gao, Zhi-Le Yang et al.· Machines· 0 citations
Compared with the reproduced UniDexGrasp-T baseline under the same object split and evaluation protocol, DexGraspDiffuser improves the three-split average success rate by 3.3 percentage points and reduces the average mean position error by 0.53 cm, indicating that target-coupled grasp and action diffusion contribute to...
Juncheng Zhu, Haotian Yang, Zhile Yang et al.· Biomimetics· 0 citations
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