Illuminating the Shadows - Challenges and Risks of Generative AI in Computer Vision for Brands by Alex Kaplunovich
Keeping Segment Mask Quality with Self-generated Masks by Shinichi Mae, Ryosuke Yamada, Hirokatsu Kataoka
High-Frequency Anti-DreamBooth: Robust Defense against Personalized Image Synthesis* by Takuto Onikubo, Yusuke Matsui
Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data* by Matthias Gerstgrasser, Rylan Schaeffer, Apratim Dey, Rafael Rafailov, Henry Sleight, John Hughes, Tomasz Korbak, Rajashree Agrawal, Dhruv Bhandarkar Pai, Andrey Gromov, Dan Roberts, Diyi Yang, David L. Donoho, Sanmi Koyejo
Gender Bias in Vision-Language Assistants* by Leander Girrbach, Yiran Huang, Isabel Rio-Torto, Stephan Alaniz, Trevor Darrell, Zeynep Akata
Defending Text-to-image Diffusion Models: Surprising Efficacy of Textual Perturbations Against Backdoor Attacks by Oscar Chew, Po-Yi Lu, Jayden Lin, Hsuan-Tien Lin
On Copyright Risks of Text-to-Image Diffusion Models by Yang Zhang, Teoh Tze Tzun, Lim Wei Hern, Kenji Kawaguchi
Papers with * are selected as contributed talks.