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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…
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…