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20232026
most citedPRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models

2 citations · 3 across the 6 of their papers we have counts for

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cs.CV2025

Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled yet Hard-to-Learn Samples in Noisy Data

Weiran Pan, Wei Wei, Feida Zhu +1

We propose a novel sample selection method for image classification in the presence of noisy labels. Existing methods typically consider small-loss samples as correctly labeled. Ho…

cs.CV2023★ 1 cited

HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models

Zhonghao Wang, Wei Wei, Yang Zhao +4

This paper explores advancements in high-fidelity personalized image generation through the utilization of pre-trained text-to-image diffusion models. While previous approaches hav…