Efficient Geometry-aware 3D Generative Adversarial Networks | GAN Paper Explained

❀️ Become The AI Epiphany Patreon ❀️ πŸ‘¨β€πŸ‘©β€πŸ‘§β€πŸ‘¦ Join our Discord community πŸ‘¨β€πŸ‘©β€πŸ‘§β€πŸ‘¦ In this video I cover the β€œEfficient Geometry-aware 3D Generative Adversarial Networksβ€œ paper, that introduced a novel explicit-implicit 3D scene representation network and devised a novel framework (dual discrimination, gen/disc pose conditioning, etc.) for SOTA 3D GANs. I also explain how NeRF works in case you didn’t have to chance to read it, yet. β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬ βœ… This video paper: βœ… Website: Supporting papers: βœ… NeRF paper: βœ… Explicit voxel grids paper: βœ… StyleGAN v1: β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬ ⌚️ Timetable: 00:00 Intro 02:45 Tri-plane 3D scene representation intro 04:25 NeRF in depth 13:35 Explicit voxel grid methods 14:40 Tri-plane 3D scene representation explained 16:40 T
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