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3D Deep Learning tutorial with Pytorch3d

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#pytorch #pytorch3d #3ddeeplearning #deeplearning #machinelearning
In this video, I try the 3D Deep Learning tutorials from Pytorch 3D. Join me and learn a bit about 3D Deep Learning.
✅ Recommended Courses
(Includes Amazon Affiliate Links)
==================================
✅ Recommended Playlists
==================================
✅ My Favorite Tech
(Includes Amazon Affiliate Links)
==================================
✅ My RTX 3070 and Ryzen 5900 Machine Learning PC Build
(Includes Amazon Affiliate Links)
=======================================================
✅ MY EQUIPMENT FOR YOUTUBE
(Includes Amazon Affiliate Links)
==================================
As an Amazon Associate, I earn a small commission from qualifying purchases on the amazon links above. It costs you nothing but helps me in keeping the content coming.
✅ BUSINESS ENQUIRIES
✅ SUPPORT THE CHANNEL or get MENTORING
✅ FOLLOW ME
✅ Timestamps
0:00 Introduction
1:00 Heterogeneous Batching
1:40 3D Operators
3:56 Differential Renderer
5:54 Google Colab: Deform a source mesh to form a target mesh using 3D loss functions
6:52 Loss functions/regularizers: Chamfer distance, edge loss, laplacian smoonthing, normal consistency
8:58 Using Stochastic Gradient Descent for Optimization loop
13:38 Opening the reconstructed mesh in Blender (Dolphin)
16:00 Trying Pytorch3D's visualization tools for Plotly
22:27 Fit a mesh using Pytorch3D's differential renderer
In this video, I try the 3D Deep Learning tutorials from Pytorch 3D. Join me and learn a bit about 3D Deep Learning.
✅ Recommended Courses
(Includes Amazon Affiliate Links)
==================================
✅ Recommended Playlists
==================================
✅ My Favorite Tech
(Includes Amazon Affiliate Links)
==================================
✅ My RTX 3070 and Ryzen 5900 Machine Learning PC Build
(Includes Amazon Affiliate Links)
=======================================================
✅ MY EQUIPMENT FOR YOUTUBE
(Includes Amazon Affiliate Links)
==================================
As an Amazon Associate, I earn a small commission from qualifying purchases on the amazon links above. It costs you nothing but helps me in keeping the content coming.
✅ BUSINESS ENQUIRIES
✅ SUPPORT THE CHANNEL or get MENTORING
✅ FOLLOW ME
✅ Timestamps
0:00 Introduction
1:00 Heterogeneous Batching
1:40 3D Operators
3:56 Differential Renderer
5:54 Google Colab: Deform a source mesh to form a target mesh using 3D loss functions
6:52 Loss functions/regularizers: Chamfer distance, edge loss, laplacian smoonthing, normal consistency
8:58 Using Stochastic Gradient Descent for Optimization loop
13:38 Opening the reconstructed mesh in Blender (Dolphin)
16:00 Trying Pytorch3D's visualization tools for Plotly
22:27 Fit a mesh using Pytorch3D's differential renderer
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