Author

Chang-Tien Lu

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Preprint Oct 2026

Compositional Concept Erasure in Text-to-Image Diffusion Models via Hierarchically Grounded Semantic Surgery

Removing copyrighted, unsafe, or user-specified concepts from a deployed text-to-image diffusion model is now a practical requirement. Weight-editing methods can suppress fixed targets, but they require per-target retraining and modify the model checkpoint. Training-free methods, on the other hand, are deployment-frien...

Chen-Di Dai, Gan-Yu Zou, Nathan Self et al. · 0 citations

Preprint Oct 2026

DOGS: Design-Space Sampling for Prompt-Driven Logo Generation

Prompt optimization for text-to-image (T2I) generation has been pursued almost entirely as text rewriting, in which a short user brief is expanded into a longer, model-preferred token sequence. We argue that such a language-space formulation is ill-suited to structured visual design tasks such as logo creation, where a...

Gan-Yu Zou, Chen-Di Dai, Nathan Self et al. · 0 citations

#artificial intelligence Preprint Oct 2026

ReCast: Contract-Preserving Protection for Fixed-Interface Multimodal Reasoning

Remote multimodal models offer strong numerical reasoning capabilities over charts and speech, but sending private inputs risks exposing sensitive content. Text-only sanitization cannot directly satisfy fixed media interfaces, while identity anonymization leaves the underlying task content exposed. We introduce ReCast,...

Bing-Chen Pei, Li-Chong Chen, Bing Zhao et al. · 0 citations

#computer vision Preprint Aug 2026

GlanceWAM: Sparse Test-Time Imagination for World-Action Models

GlanceWAM is introduced, which decouples imagination from control within a single video DiT: an asynchronous proposer glances ahead on a slow clock to imagine a single lookahead frame seconds into the future in the background, while an action head decodes action chunks at control rate purely in latent space without blo...

Lin-Han Wang, Zi-Jian An, Mingyuan Zhang et al. · 3 citations