The Reality Labs (RL) Research Team in Zurich, CH is looking for research interns to tackle the most ambitious problems in the creation of photorealistic digital humans. In this internship, we aim to build photorealistic human avatars from limited observations by leveraging generative models as a strong prior for realistic human appearance. We plan to augment pre-trained generative models with additional controls over head pose, face expressions and hair motion, and work towards generation of 4D-consistent photorealistic avatars. We envision a world where people connect across vast distances so our roles focus on capturing and modeling highly detailed and realistic human appearance. As part of our team you will explore new ways of generating controllable photorealistic avatars and will be able to leverage high-quality 4D captures, to go beyond existing state-of-the-art approaches.
Our internships are sixteen (16) to twenty four (24) weeks long and we have various start dates throughout the year.
RESEARCH TOPICS
*Virtual humans, animatable avatar creation.
*Controllable image and video generation.
*Neural representations for shape, motion and appearance.
- Develop novel algorithms in areas such as controllable avatar generation, realistic avatar reconstruction from limited observations, and temporally- and view-consistent human avatar rendering.
- Collaboration with and support of other researchers across various disciplines.
- Communication of research agenda, progress and results.
- If successful, write up your results for possible publication.
Minimum Qualifications
- Currently has, or is in the process of obtaining, a PhD in the field of Computer Science, Computer Vision, Machine Learning or related field.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Understanding of computer vision, 3D geometry, neural rendering, human modeling.
- Experience with deep learning frameworks like PyTorch.
Preferred Qualifications
- Knowledge of state-of-the-art human face and hair representations.
- Experience with fine-tuning generative models for controllable generation.
- Intent to return to degree-program after the completion of the internship.
- Proven track record of achieving significant results as demonstrated by publications at leading conferences such as CVPR, ECCV/ICCV, NeurIPS, SIGGRAPH, or similar.
Locations
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity and Affirmative Action
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
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