图像生成

Learning few-step posterior samplers by unfolding and distillation of diffusion models

Charlesquin Kemajou Mbakam, Jonathan Spence, Marcelo Pereyra

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Comments 34 pages, 18 figures, 11 tables

Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization

Weizhi Gao, Zhichao Hou, Junqi Yin, Feiyi Wang, Linyu Peng, Xiaorui Liu

机构 * Department of Computer Science, North Carolina State University（北卡罗来纳州立大学计算机科学系） ； National Center for Computational Science, Oak Ridge National Lab（橡树岭国家实验室计算科学中心） ； Department of Mechanical Engineering, Keio University（庆应大学机械工程系） 纠错

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Comments 26 pages, accepted by ICML 2025

Journal ref Proceedings of the 42nd International Conference on Machine Learning, PMLR 267, 18337-18362, 2025

NERD: Network-Regularized Diffusion Sampling For 3D Computed Tomography

Shijun Liang, Ismail Alkhouri, Qing Qu, Rongrong Wang, Saiprasad Ravishankar

专题命中 效率与蒸馏 ：diffusion(title,abstract)

Journal ref CAMSAP2025

PoCGM: Poisson-Conditioned Generative Model for Sparse-View CT Reconstruction

Changsheng Fang, Yongtong Liu, Bahareh Morovati, Shuo Han, Li Zhou, Hengyong Yu

机构 * Department of Electrical and Computer Engineering, University of Massachusetts Lowel（电气与计算机工程系，马萨诸塞大学洛伊尔分校） 纠错

专题命中 效率与蒸馏 ：image generation(abstract)；分类 cs.CV

Comments 18th International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, Shanghai, CHINA, 2025

FGM-HD: Boosting Generation Diversity of Fractal Generative Models through Hausdorff Dimension Induction

Haowei Zhang, Yuanpei Zhao, Ji-Zhe Zhou, Mao Li

专题命中 效率与蒸馏 ：image generation(abstract)；分类 cs.CV

Comments 12 pages, AAAI-26