2024 "diffusion probabilistic models" Papers
10 papers found
Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning
Xiyu Wang, Baijiong Lin, Daochang Liu et al.
ICML 2024spotlight
CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding
Kaiyuan Chen, Xingzhuo Guo, Yu Zhang et al.
ICML 2024oral
DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation
Wenliang Zhao, Haolin Wang, Jie Zhou et al.
ECCV 2024posterarXiv:2409.03755
8
citations
DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation
Jinxin Liu, Xinghong Guo, Zifeng Zhuang et al.
ICML 2024oral
Diffusion Language Models Are Versatile Protein Learners
Xinyou Wang, Zaixiang Zheng, Fei YE et al.
ICML 2024poster
Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution
Yutao Yuan, Chun Yuan
AAAI 2024paperarXiv:2404.10688
Learning Latent Space Hierarchical EBM Diffusion Models
Jiali Cui, Tian Han
ICML 2024poster
Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion
Xuantong Liu, Tianyang Hu, Wenjia Wang et al.
ICML 2024poster
SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space
Yunchen Li, Zhou Yu, Gaoqi He et al.
AAAI 2024paperarXiv:2312.08200
13
citations
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
Jiajun Ma, Shuchen Xue, Tianyang Hu et al.
ICML 2024poster