Efficient Geometry-aware 3D Generative Adversarial Networks | GAN Paper Explained
❤️ Become The AI Epiphany Patreon ❤️
👨👩👧👦 Join our Discord community 👨👩👧👦
In this video I cover the “Efficient Geometry-aware 3D Generative Adversarial Networks“ 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.
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
✅ This video paper:
✅ Website:
Supporting papers:
✅ NeRF paper:
✅ Explicit voxel grids paper:
✅ StyleGAN v1:
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
⌚️ 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
29 views
2
0
10 months ago 00:03:31 1
Efficient Geometry-aware 3D Generative Adversarial Networks | CVPR 2022
1 year ago 02:14:29 1
Maya & Nuke Tutorial: Lighting for VFX Part 3 - Separating CG lights for Compositing
2 years ago 01:15:39 7
#3 Machine Learning Papers with Code - 3D Deep Learning - 2D to 3D with Nvidia EG3D
3 years ago 00:06:25 1
NVIDIA’s New AI: Enhance! 🔍
3 years ago 00:42:50 29
Efficient Geometry-aware 3D Generative Adversarial Networks | GAN Paper Explained