no code implementations • 14 Mar 2024 • Vishal Asnani, John Collomosse, Tu Bui, Xiaoming Liu, Shruti Agarwal
ProMark can maintain image quality whilst outperforming correlation-based attribution.
no code implementations • 3 Dec 2023 • Xiao Guo, Vishal Asnani, Sijia Liu, Xiaoming Liu
To explore such important dependencies, we propose a novel model parsing method called Learnable Graph Pooling Network (LGPN).
1 code implementation • CVPR 2023 • Vishal Asnani, Xi Yin, Tal Hassner, Xiaoming Liu
Finally, we show that MaLP can be used as a discriminator for improving the generation quality of GMs.
1 code implementation • CVPR 2022 • Vishal Asnani, Xi Yin, Tal Hassner, Sijia Liu, Xiaoming Liu
That is, a template protected real image, and its manipulated version, is better discriminated compared to the original real image vs. its manipulated one.
1 code implementation • 15 Jun 2021 • Vishal Asnani, Xi Yin, Tal Hassner, Xiaoming Liu
To tackle this problem, we propose a framework with two components: a Fingerprint Estimation Network (FEN), which estimates a GM fingerprint from a generated image by training with four constraints to encourage the fingerprint to have desired properties, and a Parsing Network (PN), which predicts network architecture and loss functions from the estimated fingerprints.