Summary of Red-teaming Segment Anything Model, by Krzysztof Jankowski et al.
Red-Teaming Segment Anything Modelby Krzysztof Jankowski, Bartlomiej Sobieski, Mateusz Kwiatkowski, Jakub Szulc, Michal Janik, Hubert…
Red-Teaming Segment Anything Modelby Krzysztof Jankowski, Bartlomiej Sobieski, Mateusz Kwiatkowski, Jakub Szulc, Michal Janik, Hubert…
Enhancing Fingerprint Image Synthesis with GANs, Diffusion Models, and Style Transfer Techniquesby W. Tang, D.…
A survey of synthetic data augmentation methods in computer visionby Alhassan Mumuni, Fuseini Mumuni, Nana…
A spatiotemporal style transfer algorithm for dynamic visual stimulus generationby Antonino Greco, Markus SiegelFirst submitted…
Structure Preserving Diffusion Modelsby Haoye Lu, Spencer Szabados, Yaoliang YuFirst submitted to arxiv on: 29…
Counterfactual Generation with Identifiability Guaranteesby Hanqi Yan, Lingjing Kong, Lin Gui, Yuejie Chi, Eric Xing,…
IGUANe: a 3D generalizable CycleGAN for multicenter harmonization of brain MR imagesby Vincent Roca, GrĂ©gory…
ToonAging: Face Re-Aging upon Artistic Portrait Style Transferby Bumsoo Kim, Abdul Muqeet, Kyuchul Lee, Sanghyun…
Evaluation in Neural Style Transfer: A Reviewby Eleftherios Ioannou, Steve MaddockFirst submitted to arxiv on:…
Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attackby Zhongliang Guo, Junhao…