PAPER TITLE:Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar ReconstructionAUTHORS:  Guy Gafni      Justus Thies      Michael Zollhöfer     Matthias Nießner    Project page: https://gafniguy.github.io/4D-Facial-Avatars/CODE: 💻https://github.com/gafniguy/4D-Facial-AvatarsABSTRACT:We present dynamic neural radiance fields for modeling the appearance and dynamics of a human face. Digitally modeling and reconstructing a talking human is a key building-block for a variety of applications. Especially, for telepresence applications in AR or VR, a faithful reproduction of the appearance including novel viewpoint or head-poses is required. In contrast to state-of-the-art approaches that model the geometry and material properties explicitly, or are purely image-based, we introduce an implicit representation of the head based on scene representation networks. To handle the dynamics of the face, we combine our scene representation network with a low-dimensional morphable model which provides explicit control over pose and expressions. We use volumetric rendering to generate images from this hybrid representation and demonstrate that such a dynamic neural scene representation can be learned from monocular input data only, without the need of a specialized capture setup. In our experiments, we show that this learned volumetric representation allows for photo-realistic image generation that surpasses the quality of state-of-the-art video-based reenactment methods.RELATED PAPERS:📚Representing Scenes as Neural Radiance Fields for View Synthesis📚Deep Video Portraits📚Nerfies: Deformable Neural Radiance Fields📚AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head SynthesisCONTACT:-----------------If you would like to be a guest, sponsor or just share your thoughts, feel free to reach out via email: [email protected] STAMPS-----------------------00:00   00:07 Intro00:27 Authors01:16 Abstract / TLDR02:54 Motivation12:24 Related Work13:20 Approach17:10 Results27:05 Conclusions and future work32:12 Outro#talkingpapers #CVPR2021 #NeRF#machinelearning #deeplearning #AI #neuralnetworks #research #computervision #artificialintelligence #FacialAvatarsRecorded on April, 2nd 2021.SUBSCRIBE AND FOLLOW:🎧Subscribe on your favourite podcast app:  https://talking.papers.podcast.itzikbs.com📧Subscribe to our mailing list: http://eepurl.com/hRznqb🐦Follow us on Twitter: https://twitter.com/talking_papers🎥YouTube Channel: https://bit.ly/3eQOgwP🎧Subscribe on your favourite podcast app: https://talking.papers.podcast.itzikbs.com 📧Subscribe to our mailing list: http://eepurl.com/hRznqb 🐦Follow us on Twitter: https://twitter.com/talking_papers 🎥YouTube Channel: https://bit.ly/3eQOgwP

Ver todos los episodios