Improving Advertisement Image Generation with a Multimodal Reliable Feedback Network (ECCV 2024)

The paper introduces a Multimodal Reliable Feedback Network (RFNet) and a consistency‑condition regularization technique that together boost the usable rate of automatically generated advertisement images while preserving visual quality, supported by a new million‑image annotated dataset and extensive ECCV‑2024 experiments.

Diffusion ModelsECCV2024Multimodal

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Improving Advertisement Image Generation with a Multimodal Reliable Feedback Network (ECCV 2024)

Kuaishou Tech

Sep 27, 2024 · Artificial Intelligence

XPSR: Cross‑modal Priors for Diffusion‑based Image Super‑Resolution

The paper introduces XPSR, a diffusion‑based image super‑resolution method that incorporates cross‑modal semantic priors from a large multimodal language model, achieving state‑of‑the‑art performance on both reference and no‑reference quality metrics across synthetic and real‑world video restoration tasks.

AI researchECCV2024cross‑modal priors

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XPSR: Cross‑modal Priors for Diffusion‑based Image Super‑Resolution