Generative Neural Scene Representationsfor 3D-Aware Image Synthesis

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  • Опубліковано 5 лип 2024
  • This talk covers the following 3 papers:
    GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
    www.cvlibs.net/publications/Sc...
    github.com/autonomousvision/graf
    GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
    www.cvlibs.net/publications/Ni...
    m-niemeyer.github.io/project-...
    CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields
    arxiv.org/abs/2103.17269
    Slides:
    www.cvlibs.net/publications/Ni...
  • Наука та технологія

КОМЕНТАРІ • 3

  • @lesleyHsieh
    @lesleyHsieh 2 роки тому

    Fantastic research! The presentation is very clear.
    Thank you very much for the sharing!

  • @yttan757
    @yttan757 2 роки тому

    Very helpful presentation!
    So the "learned camera pose" in your third work actually solves the limitation presented in Giraffe, that model tends to entangle dataset bias when doing object rotation?
    The portrait no longer face the camera like Mona Lisa does.

  • @gc-uk7jb
    @gc-uk7jb 2 роки тому

    Geiger, my Superman !