1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2025
Memorization in 3D Shape Generation: An Empirical Study
Shu Pu, Boya Zeng, Kaichen Zhou +2
Generative models are increasingly used in 3D vision to synthesize novel shapes, yet it remains unclear whether their generation relies on memorizing training shapes. Understanding…
cs.LG2025
Generative Modeling of Weights: Generalization or Memorization?
Boya Zeng, Yida Yin, Zhiqiu Xu +1
Generative models have recently been explored for synthesizing neural network weights. These approaches take neural network checkpoints as training data and aim to generate high-pe…
cs.CV2024★ 1 cited
Understanding Bias in Large-Scale Visual Datasets
Boya Zeng, Yida Yin, Zhuang Liu
A recent study has shown that large-scale visual datasets are very biased: they can be easily classified by modern neural networks. However, the concrete forms of bias among these…