64 citations · 84 across the 5 of their papers we have counts for
5 papers
Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion
Manuel Kansy, Jacek Naruniec, Christopher Schroers +2
Recent years have seen a tremendous improvement in the quality of video generation and editing approaches. While several techniques focus on editing appearance, few address motion.…
Controllable Inversion of Black-Box Face Recognition Models via Diffusion
Manuel Kansy, Anton Raël, Graziana Mignone +4
Face recognition models embed a face image into a low-dimensional identity vector containing abstract encodings of identity-specific facial features that allow individuals to be di…
Augmentation for small object detection
Mate Kisantal, Zbigniew Wojna, Jakub Murawski +2
In recent years, object detection has experienced impressive progress. Despite these improvements, there is still a significant gap in the performance between the detection of smal…
Face Alignment Using K-Cluster Regression Forests With Weighted Splitting
Marek Kowalski, Jacek Naruniec
In this work we present a face alignment pipeline based on two novel methods: weighted splitting for K-cluster Regression Forests and 3D Affine Pose Regression for face shape initi…
Deep Alignment Network: A convolutional neural network for robust face alignment
Marek Kowalski, Jacek Naruniec, Tomasz Trzcinski
In this paper, we propose Deep Alignment Network (DAN), a robust face alignment method based on a deep neural network architecture. DAN consists of multiple stages, where each stag…