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Zhaoxu Luo

2 accepted papers

2025

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation

NeurIPS 2025poster

Diffusion models have emerged as powerful tools for generative tasks, producing high-quality outputs across diverse domains. However, how the generated data responds to the initial noise perturbation in diffusion models remains under-explored, hindering a deeper understanding of the controllability…

Cited by 0SourcecodeScholar
2024

DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction

NeurIPS 2024poster

Diffusion models face significant challenges when employed for large-scale medical image reconstruction in real practice such as 3D Computed Tomography (CT). Due to the demanding memory, time, and data requirements, it is difficult to train a diffusion model directly on the entire volume of high-dim…