Tag: giraffe

• Efficient Geometry-aware 3D Generative Adversarial Networks (27 Aug 2023)
  

  This is my reading note on Efficient Geometry-aware 3D Generative Adversarial Networks. EG3D proposes a 20 to 3D generate method base style gan and triplane based nerf. The high level idea is to use style gan to generate triplane, which is then rendered into images. The rendered image is the discriminated to the input images at two resolutions. The camera pose is also required to generate the triplane.

• Efficient Geometry-aware 3D Generative Adversarial Networks (25 Jul 2023)
  

  This is my reading note for Efficient Geometry-aware 3D Generative Adversarial Networks. The paper proposes a 2Dto 3D generate method base style GAN and triplane based NERF. The high level idea is to use style GAN to generate triplane, which is then rendered into images. The rendered image is the discriminated to the input images at two resolutions. The camera pose is also required to generate the triplane.

• GIRAFFE Representing Scenes as Compositional Generative Neural Feature Fields (25 Sep 2022)
  

  This is my reading note for GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields. The paper aims to provide more control to 3D object rendering NeRF. For example moving the objects in the 3D scene, adding/deleting objects and so on. To acheive this, GIRAFFE proposed to model the objects and background in the scene separately and then composite together for the rendering. In addition, different from NeRF, GIRAFFE uses a learned discriminator instead of L2 or L1 loss as loss function, thus it is a GAN.