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Jiacheng Sun

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Elucidating The Design Space of Classifier-Guided Diffusion Generation

Oct 17, 2023
Jiajun Ma, Tianyang Hu, Wenjia Wang, Jiacheng Sun

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SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models

Sep 10, 2023
Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma

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Complexity Matters: Rethinking the Latent Space for Generative Modeling

Jul 17, 2023
Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li

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Training Energy-Based Models with Diffusion Contrastive Divergences

Jul 04, 2023
Weijian Luo, Hao Jiang, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Zhihua Zhang

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Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models

May 29, 2023
Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang

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On the Generalization of Diffusion Model

May 24, 2023
Mingyang Yi, Jiacheng Sun, Zhenguo Li

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Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels

Feb 21, 2023
Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu

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Why Are Conditional Generative Models Better Than Unconditional Ones?

Dec 01, 2022
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu

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Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models

Jun 15, 2022
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang

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Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks

Dec 10, 2021
Qi Sun, Hexin Dong, Zewei Chen, Jiacheng Sun, Zhenguo Li, Bin Dong

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