9 citations · 10 across the 3 of their papers we have counts for
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cs.CV2026
Geometry-Aware Dataset Condensation for Diffusion Model Training
Xiao Cui, Yulei Qin, Mo Zhu +3
Dataset condensation aims to construct compact datasets from real data via synthesis or selection. However, existing approaches are ill-suited for diffusion model training: synthet…
cs.CV2023★ 1 cited
Unmasking Bias in Diffusion Model Training
Hu Yu, Li Shen, Jie Huang +2
Denoising diffusion models have emerged as a dominant approach for image generation, however they still suffer from slow convergence in training and color shift issues in sampling.…
cs.CV2014★ 9 cited
Fast Iteratively Reweighted Least Squares Algorithms for Analysis-Based Sparsity Reconstruction
Chen Chen, Junzhou Huang, Lei He +1
In this paper, we propose a novel algorithm for analysis-based sparsity reconstruction. It can solve the generalized problem by structured sparsity regularization with an orthogona…