Vimmerse is building a platform and tools to create, share, and play 3D immersive video. Real-world camera-captured scenes can be played back with 6 Degrees of Freedom (6DoF)
Vimmerse (YC W22) is seeking a graduate student intern to research and develop a novel view synthesis solution for camera-captured 3D video scenes, utilizing Neural Radiance Fields (NeRF) and machine learning. Responsibilities include customizing and retraining NerF for Vimmerse’s multi-view video content. The position will be fully remote and international locations are acceptable. Minimum internship duration is 4 months full-time.
Qualified candidates will be self-driven, hard-working, strong collaborators, good communicators, and passionate about emerging technologies, and can operate in a highly dynamic environment. Preferred candidates are graduate students with research experience and published papers on Neural Radiance Fields (NeRF).
Vimmerse uses the new MPEG Immersive Video (MIV) standard to provide novel view synthesis from multi-view color texture + depth videos.