Internship: Generative Adversarial Networks (GANs) for 3D face generation
Mitsubishi Electric Research Labs, United States
Job Description
MERL is seeking a highly motivated intern to conduct original research in the area of generative adversarial networks for realistic 3D face generation. The successful candidate will collaborate with MERL researchers to design and implement new models, conduct experiments, and prepare results for publication. The candidate should be a PhD student in computer vision with experience in GANs and related deep learning methods, as well as good general knowledge in machine learning and a strong publication record. Previous experience with 3D face models and video generation is preferred. Strong programming skills in Python and flexibility working across various deep learning platforms (e.g., PyTorch and TensorFlow) are expected.
Research Areas: Computer Vision, Machine Learning
Contact: Tim Marks
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