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Intrinsic phase-preserving networks for depth super resolution
Depth map super-resolution (DSR) plays an indispensable role in 3D vision. We discover an
non-trivial spectral phe-nomenon: the components of high-resolution (HR) and low …
non-trivial spectral phe-nomenon: the components of high-resolution (HR) and low …
ProFake: Detecting Deepfakes in the Wild against Quality Degradation with Progressive Quality-adaptive Learning
Despite the promising advances in deepfake detection on current datasets, detecting visual
deepfakes in real-world scenarios (eg, deepfake videos and live streaming on YouTube) …
deepfakes in real-world scenarios (eg, deepfake videos and live streaming on YouTube) …
Toward Tiny and High-Quality Facial Makeup with Data Amplify Learning
Contemporary makeup approaches primarily hinge on unpaired learning paradigms, yet
they grapple with the challenges of inaccurate supervision (eg, face misalignment) and …
they grapple with the challenges of inaccurate supervision (eg, face misalignment) and …
Beyond Privacy: Generating Privacy-Preserving Faces Supporting Robust Image Authentication
Towards Artist-Like Painting Agents with Multi-Granularity Semantic Alignment
Mainstream painting agents based on stroke-based rendering (SBR) attempt to translate
visual appearance into a sequence of vectorized painting-style strokes. Lacking a direct …
visual appearance into a sequence of vectorized painting-style strokes. Lacking a direct …
FaceShield: Defending Facial Image against Deepfake Threats
Text To Stealthy Adversarial Face Masks
B Lewis, T Moyse, J Parkinson, E Telford, C Whitfield… - openreview.net
Recent studies have demonstrated that modern facial recognition systems, which are based
on deep neural networks, are vulnerable to adversarial attacks, including the use of …
on deep neural networks, are vulnerable to adversarial attacks, including the use of …