Summary of Diffusion Bridge Autoencoders For Unsupervised Representation Learning, by Yeongmin Kim et al.
Diffusion Bridge AutoEncoders for Unsupervised Representation Learningby Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na,…
Summary of Enhancing Accuracy in Generative Models Via Knowledge Transfer, by Xinyu Tian and Xiaotong Shen
Enhancing Accuracy in Generative Models via Knowledge Transferby Xinyu Tian, Xiaotong ShenFirst submitted to arxiv…
Summary of Transfer Learning For Diffusion Models, by Yidong Ouyang et al.
Transfer Learning for Diffusion Modelsby Yidong Ouyang, Liyan Xie, Hongyuan Zha, Guang ChengFirst submitted to…
Summary of Em Distillation For One-step Diffusion Models, by Sirui Xie et al.
EM Distillation for One-step Diffusion Modelsby Sirui Xie, Zhisheng Xiao, Diederik P Kingma, Tingbo Hou,…
Summary of Dmplug: a Plug-in Method For Solving Inverse Problems with Diffusion Models, by Hengkang Wang et al.
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Modelsby Hengkang Wang, Xu Zhang,…
Summary of Greedy Growing Enables High-resolution Pixel-based Diffusion Models, by Cristina N. Vasconcelos et al.
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Modelsby Cristina N. Vasconcelos, Abdullah Rashwan, Austin Waters, Trevor…
Summary of Reinforcement Learning For Jump-diffusions, with Financial Applications, by Xuefeng Gao et al.
Reinforcement Learning for Jump-Diffusions, with Financial Applicationsby Xuefeng Gao, Lingfei Li, Xun Yu ZhouFirst submitted…
Summary of Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups, by Yuchen Zhu et al.
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groupsby Yuchen Zhu, Tianrong Chen, Lingkai Kong,…
Summary of Reverse Transition Kernel: a Flexible Framework to Accelerate Diffusion Inference, by Xunpeng Huang et al.
Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inferenceby Xunpeng Huang, Difan Zou, Hanze…
Summary of Unraveling the Smoothness Properties Of Diffusion Models: a Gaussian Mixture Perspective, by Yingyu Liang et al.
Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspectiveby Yingyu Liang, Zhenmei Shi,…