Uni-AdGen uses a unified autoregressive framework with foreground perception, instruction tuning, and coarse-to-fine preference modules to generate personalized image-text ads from noisy user behaviors, outperforming baselines on a new PAd1M dataset.
Planning and rendering: Towards prod- uct poster generation with diffusion models
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Any2Poster Bench tests poster generation from 8 modalities and 5 domains using quizzes and VLM judgments; Any2Poster Agent reaches 87% accuracy and beats prior paper-only methods.
citing papers explorer
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Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models
Uni-AdGen uses a unified autoregressive framework with foreground perception, instruction tuning, and coarse-to-fine preference modules to generate personalized image-text ads from noisy user behaviors, outperforming baselines on a new PAd1M dataset.
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Any2Poster: Any-Source Poster Generation Across Modalities and Domains
Any2Poster Bench tests poster generation from 8 modalities and 5 domains using quizzes and VLM judgments; Any2Poster Agent reaches 87% accuracy and beats prior paper-only methods.
- simpleposter: A simple baseline for product poster generation