10 papers
On the Controllability-Fidelity Frontier in Diffusion Editing
Yi Hu, Leying Yi, Emily Davis +1
Diffusion-based generative models enable powerful image editing capabilities, but achieving precise control while maintaining fidelity and safety remains challenging. We present a…
Editing on the Generative Manifold: A Theoretical and Empirical Study of General Diffusion-Based Image Editing Trade-offs
Yi Hu, Leying Yi, Emily Davis +1
Diffusion-based editing has rapidly evolved from curated inpainting tools into general-purpose editors spanning text-guided instruction following, mask-localized edits, drag-based…
Editing Away the Evidence: Diffusion-Based Image Manipulation and the Failure Modes of Robust Watermarking
Qian Qi, Jiangyun Tang, Jim Lee +2
Robust invisible watermarks are widely used to support copyright protection, content provenance, and accountability by embedding hidden signals designed to survive common post-proc…
When Denoising Becomes Unsigning: Theoretical and Empirical Analysis of Watermark Fragility Under Diffusion-Based Image Editing
Fai Gu, Qiyu Tang, Te Wen +2
Robust invisible watermarking systems aim to embed imperceptible payloads that remain decodable after common post-processing such as JPEG compression, cropping, and additive noise.…
Vanishing Watermarks: Diffusion-Based Image Editing Undermines Robust Invisible Watermarking
Fan Guo, Jiyu Kang, Qi Ming +2
Robust invisible watermarking schemes aim to embed hidden information into images such that the watermark survives common manipulations. However, powerful diffusion-based image gen…
On the Information-Theoretic Fragility of Robust Watermarking under Diffusion Editing
Yunyi Ni, Ziyu Yang, Ze Niu +2
Robust invisible watermarking embeds hidden information in images such that the watermark can survive various manipulations. However, the emergence of powerful diffusion-based imag…