Author

Long Chen

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#artificial intelligence Preprint Mar 2026

Adaptive Weighted h-Transform Sampling for Coarse-Guided Visual Generation

A novel guided method is proposed by using the h-transform, a tool that can constrain stochastic processes (e.g., sampling process) under desired conditions and modify the transition probability at each sampling timestep by adding to the original differential equation with a drift function, which approximately steers t...

Yanghao Wang, Zi-Qi Jiang, Zhen Wang et al. · 3 citations · ⚡1

Jul 2026

h-Flow: Flexible Flow-based Image Editing via Doob's h-Transform

Editing images with pre-trained text-to-image flow models typically requires carefully balancing target alignment with the desired prompt and source consistency with the original image. Existing approaches either rely on inversion-based pipelines or heuristic source-to-target trajectory constructions, which often depen...

Zehui Guo, Zhen Wang, Junwei Shu et al. · arXiv.org · 0 citations

Preprint Jul 2026

Robustifying Vision-Language Models via Test-Time Prompt Adaptation

This work proposes RITA, a Robust test-tIme prompt-TAdaptation framework that shifts from sample-level estimates to distribution-level alignment, and employs optimal transport to align the distribution of augmented visual features with textual prototypes, mitigating adversarial outliers and rectifying cross-modal seman...

Xingyu Zhu, Huanshen Wu, Shuo Wang et al. · 1 citation