Author

Cheng Jin

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Preprint Sep 2026

Quantization-Aware Kalman Estimation for Diffusion Sampling

Quantization offers a practical path to deploying diffusion models with reduced memory and computation, but aggressive compression can cause quantized outputs to deviate substantially from their full-precision counterparts. Sampling-stage correction methods seek to compensate for such deviations during sampling, but ex...

Qi-Tan Shi, Cheng Jin, Jia-Wei Zhang et al. · 0 citations

Jul 2026

Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling

MoNO is proposed, a training-free method that performs Manifold-constrained Noise Optimization on a low-dimensional, quality-stabilizing noise manifold that combines Riemannian updates on an affine low-frequency sphere to preserve prior likelihood and fix unstable high-frequency components by construction.

Qi-Tan Shi, Cheng Jin, Zi-Yuan Liu et al. · arXiv.org · 1 citation