Demo of Face2Face: real-time face capture and reenactment of RGB videos
By Justus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt, Matthias Nießner. 2016
216 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Neurology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Ming-Hsuan Yang
- Andrew Zisserman
- Jitendra Malik
- Andrea Vedaldi
- Xiaogang Wang
- Dacheng Tao
- Christian Theobalt
In Neurology
- Patrick Pérez
- Hao Su
- Pablo Garrido
- Christian Theobalt
- Michael Zollhöfer
- Hyeongwoo Kim
- Matthias Nießner
- Ayush Kumar Tewari
Citations in the corpus
- Deep video portraits (2018, methodology): “Performance-driven techniques overcome this limitation by transferring semantically-meaningful motion parameters and re-rendering the target model with photorealistic relectance [Thies et al. 2016], and ine-scale details [Garrido et al. 2015, 2016].”
- SofGAN: A Portrait Image Generator with Dynamic Styling (2020, background): “…such as free-viewpoint relighting [Chen et al. 2020], reenactment [Cao et al. 2013; Geng et al. 2018; Siarohin et al. 2019; Tewari et al. 2020; Thies et al. 2016], novel views synthesis [Chen et al. 2018; Lombardi et al. 2019; Mildenhall et al. 2020; Sitzmann et al. 2019a,b; Thies et al.…”
- Deepfake Video Detection through Optical Flow Based CNN (2019, methodology): “Face2Face 81.61% 75.46% Preliminary results on two implemented networks (VGG16 and ResNet50) are presented in Table 1.”
- Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News (2020, background): “Thies et al. (2016) developed software that enables anyone with a webcam to generate replicas of other people’s facial expressions.”
- Face identity disentanglement via latent space mapping (2020, background): “By comparison, face reenactment meth-ods transfer expression and head pose (sometimes also illumination and eye gaze) from a source video to a target identity [Averbuch-Elor et al. 2017; Kim et al. 2018; Thies et al. 2016, 2018; Zakharov et al. 2019].”
- 3D Morphable Face Models—Past, Present, and Future (2019, unknown): “Many other tricks have been considered, for example, hierarchical optimization (both in parameter space and spatially, i.e. multiresolution [Thies et al. 2016]) and using an optimization schedule in which different energy functions are switched on or weighted differently at different phases on the…”
- Text-based editing of talking-head video (2019, methodology): “Specifically, we apply recent work on monocular model-based face reconstruction[Garrido et al. 2016; Thies et al. 2016].”