Image-to-layer decomposition converts a flattened image into editable RGBA layers, enabling element-level editing in design workflows. Existing diffusion-based systems typically adapt large pretrained text-to-image (T2I) models and introduce RGBA autoencoders or variable-layer architectural modules. We revisit this des...
Ze-Lin Jia, Zhao Zhang, Zhi-Cong Tang et al.· 0 citations
Compositing multiple visualizations into a coherent whole remains challenging due to the vast design space and the need to balance the coverage of task-relevant data insights (e.g., trends and outliers), perceptual clarity, and aesthetic quality. In this paper, we present VisPuzzle, a task-aware method that formulates...
Zheng Wang, Zhiyang Shen, Lingyun Yu et al.· 1 citation
EleRPO is proposed, which extends GRPO from sequence-level supervision to element-level optimization, and provides fine-grained training signals that capture how each detected element contributes to overall detection quality, and works synergistically with compositional order to improve detection performance.
Jiang-Ning Zhu, Bo-Wen Li, Shenyu Qiao et al.· 1 citation
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