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9 papers
A Posterior-Dynamics Framework for Imaging Inverse Problems with Pretrained Diffusion Priors
Zhaoqiang Liu, Tongyao Pang, Ruibing Wang +1
Pretrained diffusion models represent image distributions through a continuum of progressively smoothed distributions. This multiscale structure organizes generation from global st…
Wavelet-Guided Semantic Signal Compensation for Inversion-Free Image Editing
Anqi Tang, Wenhao Sun, Zhaoqiang Liu
Text-guided image editing aims to modify visual content according to a target prompt while preserving the background. Recent inversion-free image editing frameworks such as FlowEdi…
Tracing the Oracle: Improving Diffusion Timestep Scheduling for 3D CT Reconstruction
Yujia Wu, Zhaoqiang Liu
Pretrained diffusion models demonstrate impressive potential in solving highly ill-posed 3D computed tomography (CT) inverse problems, while the inference process suffers from sign…
Image Restoration via Diffusion Models with Dynamic Resolution
Yang Zheng, Wen Li, Zhaoqiang Liu
Diffusion models (DMs) have exhibited remarkable efficacy in various image restoration tasks. However, existing approaches typically operate within the high-dimensional pixel space…
Outlier-Robust Diffusion Solvers for Inverse Problems
Yang Zheng, Jiahua Liu, Tongyao Pang +2
Methods based on diffusion models (DMs) for solving inverse problems (IPs) have recently achieved remarkable performance. However, DM-based methods typically struggle against outli…
Just-in-Time: Training-Free Spatial Acceleration for Diffusion Transformers
Wenhao Sun, Ji Li, Zhaoqiang Liu
Diffusion Transformers have established a new state-of-the-art in image synthesis, but the high computational cost of iterative sampling severely hampers their practical deployment…
Diffusion Model Based Signal Recovery Under 1-Bit Quantization
Youming Chen, Zhaoqiang Liu
Diffusion models (DMs) have demonstrated to be powerful priors for signal recovery, but their application to 1-bit quantization tasks, such as 1-bit compressed sensing and logistic…
Learning Single Index Models with Diffusion Priors
Anqi Tang, Youming Chen, Shuchen Xue +1
Diffusion models (DMs) have demonstrated remarkable ability to generate diverse and high-quality images by efficiently modeling complex data distributions. They have also been expl…
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
Jiajun Ma, Shuchen Xue, Tianyang Hu +5
With the incorporation of the UNet architecture, diffusion probabilistic models have become a dominant force in image generation tasks. One key design in UNet is the skip connectio…