3D Gaussian Splatting | Guest Lecture for "Computer Graphics in AI Era" скачать в хорошем качестве

3D Gaussian Splatting | Guest Lecture for "Computer Graphics in AI Era"

This is a recording of my guest lecture for CS8803/4803 CGA -- "Computer Graphics in AI Era", a Georgia Tech course taught by Prof. Bo Zhu (https://faculty.cc.gatech.edu/~bozhu/ ). With students ranging from undergrads with minimal background to master's students experienced in computer vision, machine learning, and graphics, my goal was to make the lecture engaging and useful for everyone. 🌐 Course website: https://cgai-gatech.vercel.app 🖼️ "Tiny gaussian splatting in 2D" notebook: https://github.com/bobarna/tiny-2d-ga... 📅 Recorded on: Feb. 27, 2025 --- ⏳ Timestamps: 00:00 Overview 01:30 Differentiable Models in CG / The Big Picture 03:47 Novel View Synthesis 04:45 Recap: Neural Radiance Fields (NeRF) 07:40 Two examples: Differentiable Rendering in 2D 09:10 3D Gaussian Splatting Demo [1] 11:20 3D Gaussian Splatting vs NeRF 12:49 3DGS Pipeline Overview 14:52 Parametrization: 1D/2D/3D Gaussians 16:17 Parametrization: 2D Gaussian, Building the Sigma Matrix 24:33 Initialization: Structure from Motion (SfM) 31:23 Spherical Harmonics (SH) quick overview 35:29 3D-to-2D Projection 38:50 2D Rasterization (alpha blending) 49:39 Optimization 56:50 Anisotropic Gaussians 57:35 "4D Gaussian Splatting" [2] 58:55 Next Steps [3] 1:01:19 Fun fact: Fourier features 📺 My second guest lecture on Differentiable Physics:    • Differentiable Physics | Guest Lecture for...   [1]: https://vincentwoo.com/3d/sutro_tower [2]: For details, see the "Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis" paper: https://dynamic3dgaussians.github.io/ [3] Also see: 3DGS paper: https://repo-sam.inria.fr/fungraph/3d... 2D Gaussian Splatting: https://surfsplatting.github.io/ TUM AI Lecture Series - The 3D Gaussian Splatting Adventure: Past, Present, Future (George Drettakis): https://www.youtube.com/live/DjOqkVIlEGY Trying 3DGS at home: gsplat: https://docs.gsplat.studio/main NeRF studio: https://docs.nerf.studio/