Efficient Geometry-aware 3D Generative Adversarial Networks | GAN Paper Explained @TheAIEpiphany
Efficient Geometry-aware 3D Generative Adversarial Networks | GAN Paper Explained  @TheAIEpiphany
Uploaded December 2021 | Updated September 2026, 1 week ago
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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.

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βœ… This video paper: arxiv.org/abs/2112.07945
βœ… Website: matthew-a-chan.github.io/EG3D

Supporting papers:
βœ… NeRF paper: arxiv.org/abs/2003.08934
βœ… Explicit voxel grids paper: arxiv.org/abs/1906.07751
βœ… StyleGAN v1: arxiv.org/abs/1812.04948
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⌚️ 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 Tri-plane is as expressive
18:30 Efficient 3D GANs pipeline
22:05 Pose correlated facial features
23:40 Dual discrimination, super-resolution
32:40 Results
37:00 Ethical considerations, are we going to change anything?
39:25 Intrinsics, extrinsics robustness?
42:00 Outro

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#3D #GANs #NeRF
Efficient Geometry-aware 3D Generative Adversarial Networks | GAN Paper ExplainedDay 18: Open NLLB - data loading document, GitHub tasks (Pt 1)Day 12: Open NLLB - on-boarding doc for new-joiners, mem usage (Pt 1.)Day 3: Replicating Metas NLLB - primary & mined dataDay 25: Open NLLB - filtering HBS (fuzzy dedup, toxicity, LID) (Pt 1)ETA Prediction with Graph Neural Networks in Google Maps | Paper ExplainedMosaicML - Path to 1.300.000.000$ with Davis Blalock (1st employee) | Discord server talksDay 20: Open NLLB - analyzing HBS data (Bosnian, Croatian) (Pt 2)Day 9: Open NLLB - improving data download scripts (Pt 3.)Day 8: Meta NLLB - kicking off a training run, data analysis (Pt. 3)Will LLMs kill Search? Nils Reimers (director of ML at Cohere)  | The AI Epiphany Discord talksOpenAI GLIDE (Diffusion) | ML Coding series | Towards Photorealistic Image Generation and Editing
Aleksa Gordić - The AI Epiphany |

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

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