- PhD student for Computer Vision or Graphics
- Process audio-video inputs to predict 3D body motion.
- Conduct full body motion reconstruction in natural environments.
- Handle body animation by working with 3D body models.
- Utilize diffusion model-based methods for advanced modeling techniques.
- Design algorithms that generate accurate outputs from audio-video inputs.
- Engage in neural rendering processes to enhance visual outputs.
- Experience in body-related work.
- Proficiency with 3D Morphable Models (3DMMs) and Generative Adversarial Networks (GANs).
- Knowledge working with diffusion models
- Publication related to full body synthesis at conferences like ECCV, ICCV, CVPR, or SIGGRAPH.
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Research Scientist Intern - Santa Monica, United States - Flawless
Description
"The most talked about AI company in Hollywood"Flawless is shattering the boundaries of traditional filmmaking with its groundbreaking suite of Gen AI film editing tools.
Our mission is to empower filmmakers with cutting-edge technology that allows creativity without compromise, expands storytelling possibilities, and delivers unparalleled visual and emotional experiences.
What we are looking for:
Flawless is looking for a Multi-Modal Gesture Synthesis Research Intern to join us in Santa Monica. We are seeking a Research Science Intern for a 3-6 month internship focusing on Multi-Modal Gesture Synthesis.
This intern will be responsible for designing algorithms to generate 3D body motion based on audio-video input, involving full body motion reconstruction and neural rendering using diffusion model-based methods and handling body animation with 3D body models.
This role requires prior experience with body-related work, familiarity with 3DMMs and GANs, and at least one publication related to full body synthesis.
Reporting to Applied Science and Research Science supervisors, the ideal candidate will possess a PhD in Computer Vision or GraphicRequirements
Flawless is proud to emphasize an equal opportunity, safe environment for people to do their best work.
We are committed to providing equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.