Author

Li-Qiang Nie

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Preprint Oct 2026

VisualErase: Dual-Branch Visual Trajectory Redirection for Robust Concept Erasure in Text-to-Image Diffusion Models

Concept erasure is essential for the safe deployment of text-to-image diffusion models, as they may reproduce harmful, copyrighted, or privacy-sensitive content learned from unconstrained large-scale data. Existing methods typically erase unwanted concepts while preserving general generation capability by redirecting t...

Qian-Long Xiang, Miao Zhang, Kun Wang et al. · 0 citations

Sep 2026

Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object Segmentation.

Conventional video object segmentation (VOS) methods usually necessitate a substantial volume of pixel-level annotated video data for fully supervised learning. In this paper, we present HVC, a hybrid static-dynamic visual correspondence framework for self-supervised VOS. HVC extracts pseudo-dynamic signals from static...

Ya-Zhou Yao, Gen-Sheng Pei, Jian-Bo Jiao et al. · IEEE Transactions on Pattern... · 0 citations

Preprint Aug 2026

TINA+: Probing Residual Visual Knowledge in Unlearned Diffusion Models via Diffusion-Consistent Text-Free Inversion

Although text-to-image diffusion models exhibit remarkable generative power, concept erasure techniques are essential for preventing harmful content. Existing adversarial probes evaluate these methods by testing whether erased concepts can still be recovered. However, existing erasure and probe methods remain largely t...

Qian-Long Xiang, Miao Zhang, Kun Wang et al. · 1 citation