Reliable Feedback Network (RFNet) for Improving Usable Advertising Image Generation

The paper proposes a multimodal Reliable Feedback Network (RFNet) and a consistency‑regularized fine‑tuning method (RFFT) that dramatically increase the proportion of usable advertising images generated by diffusion models while preserving visual appeal, and introduces the large‑scale RF1M dataset for training and evaluation.

RFNetadvertising imagesdiffusion models

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Reliable Feedback Network (RFNet) for Improving Usable Advertising Image Generation

JD Tech Talk

Nov 14, 2024 · Artificial Intelligence

Can Human Feedback Make Advertising Image Generation Reliable? Introducing RFNet

This paper presents a multimodal Reliable Feedback Network (RFNet) and a consistency regularization method that use human feedback to automatically evaluate and fine‑tune diffusion models, dramatically increasing the usable rate of e‑commerce advertising images while preserving visual quality.

Computer VisionHuman FeedbackRFNet

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Can Human Feedback Make Advertising Image Generation Reliable? Introducing RFNet