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cs.CV2025
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features
Anand Kumar, Jiteng Mu, Nuno Vasconcelos
Text-to-image (T2I) models have recently gained widespread adoption. This has spurred concerns about safeguarding intellectual property rights and an increasing demand for mechanis…
cs.CV2025
EditAR: Unified Conditional Generation with Autoregressive Models
Jiteng Mu, Nuno Vasconcelos, Xiaolong Wang
Recent progress in controllable image generation and editing is largely driven by diffusion-based methods. Although diffusion models perform exceptionally well in specific tasks wi…
cs.CV2024
Editable Image Elements for Controllable Synthesis
Jiteng Mu, Michaël Gharbi, Richard Zhang +4
Diffusion models have made significant advances in text-guided synthesis tasks. However, editing user-provided images remains challenging, as the high dimensional noise input space…