Summary of A Closer Look at Time Steps Is Worthy Of Triple Speed-up For Diffusion Model Training, by Kai Wang et al.
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Trainingby…
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Trainingby…
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learningby Jaewoo Lee, Sujin Yun, Taeyoung…
Transfer Learning for Diffusion Modelsby Yidong Ouyang, Liyan Xie, Hongyuan Zha, Guang ChengFirst submitted to…
EM Distillation for One-step Diffusion Modelsby Sirui Xie, Zhisheng Xiao, Diederik P Kingma, Tingbo Hou,…
Diffusion-Reward Adversarial Imitation Learningby Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Yu-Chiang Frank Wang, Min-Hung Chen,…
AIGB: Generative Auto-bidding via Conditional Diffusion Modelingby Jiayan Guo, Yusen Huo, Zhilin Zhang, Tianyu Wang,…
Diffusion Actor-Critic with Entropy Regulatorby Yinuo Wang, Likun Wang, Yuxuan Jiang, Wenjun Zou, Tong Liu,…
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacherby Dongjun Kim, Chieh-Hsin…
DLPO: Diffusion Model Loss-Guided Reinforcement Learning for Fine-Tuning Text-to-Speech Diffusion Modelsby Jingyi Chen, Ju-Seung Byun,…
Enhancing Image Layout Control with Loss-Guided Diffusion Modelsby Zakaria Patel, Kirill SerkhFirst submitted to arxiv…