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cs.LG2026
Constrained Particle Seeking: Solving Diffusion Inverse Problems with Just Forward Passes
Hongkun Dou, Zike Chen, Zeyu Li +3
Diffusion models have gained prominence as powerful generative tools for solving inverse problems due to their ability to model complex data distributions. However, existing method…
cs.LG2026
Variational Trajectory Optimization of Anisotropic Diffusion Schedules
Pengxi Liu, Zeyu Michael Li, Xiang Cheng
We introduce a variational framework for diffusion models with anisotropic noise schedules parameterized by a matrix-valued path that allocates noise across subspaces. Cen…
cs.LG2025
You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts
Hongkun Dou, Zeyu Li, Xingyu Jiang +4
Diffusion models (DMs) have recently demonstrated remarkable success in modeling large-scale data distributions. However, many downstream tasks require guiding the generated conten…