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Tadas Baltrušaitis

3 accepted papers

2022

3D Face Reconstruction with Dense Landmarks

ECCV 2022poster

"Landmarks often play a key role in face analysis, but many aspects of identity or expression cannot be represented by sparse landmarks alone. Thus, in order to reconstruct faces more accurately, landmarks are often combined with additional signals like depth images or techniques like differentiable…

2021

Fake It Till You Make It: Face Analysis in the Wild Using Synthetic Data Alone

ICCV 2021poster

We demonstrate that it is possible to perform face-related computer vision in the wild using synthetic data alone. The community has long enjoyed the benefits of synthesizing training data with graphics, but the domain gap between real and synthetic data has remained a problem, especially for human…

Cited by 339PDFcodeScholar
2020

CONFIG: Controllable Neural Face Image Generation

ECCV 2020poster

Our ability to sample realistic natural images, particularly faces, has advanced by leaps and bounds in recent years, yet our ability to exert fine-tuned control over the generative process has lagged behind. If this new technology is to find practical uses, we need to achieve a level of control ove…