Spoiled by 2D, I was shocked to find out there are no good ways to compute exact IoU of oriented 3D boxes. So, we came up with a new algorithm which is exact, simple, efficient and batched. Naturally, we have C++ and CUDA support #PyTorch3D Read more: tinyurl.com/27zywpws

georgiagkioxari's tweet image. Spoiled by 2D, I was shocked to find out there are no good ways to compute exact IoU of oriented 3D boxes. So, we came up with a new algorithm which is exact, simple, efficient and batched. Naturally, we have C++ and CUDA support #PyTorch3D

Read more: tinyurl.com/27zywpws

ItS aLL iN tHe MaTh BrO!! 🤷 #PyTorch3d #computervision Context: someone asked about weird behavior in the Laplacian smoothing operation causing spikes in meshes

rohitrango's tweet image. ItS aLL iN tHe MaTh BrO!! 🤷 #PyTorch3d #computervision 

Context: someone asked about weird behavior in the Laplacian smoothing operation causing spikes in meshes

何個かの椅子を学習させてつくった椅子 #pytorch3d

hayamatomoe's tweet image. 何個かの椅子を学習させてつくった椅子 #pytorch3d

We demonstrate utility of TyXe by integrating it with #PyTorch for Uncertainty and OOD, #PyTorch3D, and DGL to run Bayesian ResNets, Bayesian GNNs, and Bayesian Neural Radience Fields. No cows were harmed or mis-inferred during this process (see this little NeRF demo) 4/5

Tkaraletsos's tweet image. We demonstrate utility of TyXe by integrating it with #PyTorch for Uncertainty and OOD, #PyTorch3D, and DGL to run Bayesian ResNets, Bayesian GNNs, and Bayesian Neural Radience Fields. No cows were harmed or mis-inferred during this process (see this little NeRF demo) 4/5

Today we released code for SynSin, our CVPR'20 oral that generates novel views from a single image: github.com/facebookresear… We have: - Pretrained models - Jupyter notebook demos - Training and evaluation - #pytorch3d integration Congrats to @oliviawiles1 on the release!


3D Virtual Environments are usually based on renderers (target renderers) that have more advanced features (e.g. image quality) than the ones that are supported by versatile differentiable renderers (#pytorch3d), that we refer to as surrogate renderers. 3/6

TiezziMatteo's tweet image. 3D Virtual Environments are usually based on renderers (target renderers) that have more advanced features (e.g. image quality) than the ones that are supported by versatile differentiable renderers (#pytorch3d), that we refer to as surrogate renderers. 
3/6
TiezziMatteo's tweet image. 3D Virtual Environments are usually based on renderers (target renderers) that have more advanced features (e.g. image quality) than the ones that are supported by versatile differentiable renderers (#pytorch3d), that we refer to as surrogate renderers. 
3/6

Pytorch3d now provides clean code to fit textured mesh, textured volume and simple neural-radiance-field. Plenty of handy 3D utils there, and very good tutorials/docs. Here some examples fitting Suzanne pytorch3d.org #pytorch3d #neuralrendering


機械学習してつくった植物 #pytorch3d

hayamatomoe's tweet image. 機械学習してつくった植物 #pytorch3d

飛行機を学習してモデリング #pytorch3d

hayamatomoe's tweet image. 飛行機を学習してモデリング #pytorch3d

トーラスから機械学習したスタンフォードのウサギちゃん #pytorch3d

hayamatomoe's tweet image. トーラスから機械学習したスタンフォードのウサギちゃん #pytorch3d

First needed to play with the major 3D ML libraries, #PyTorch3D and the Tensorflow counterpart @_TFGraphics_. Here I'm deforming a sphere into Suzanne via SGD by optimizing the chamfer distance (plus regularizers)


入力した画像のシルエットをもとに、カメラ位置の最適化を行うPyTorch3dのチュートリアルを試してみた。収束した位置からレンダリングしたモデルがずれている。。数値上目標の位置はほとんどずれてないはずなのになぜだろう #PyTorch3d


一晩徹夜で学習させたら多少はうさぎに近づいた.#pytorch3d

hayamatomoe's tweet image. 一晩徹夜で学習させたら多少はうさぎに近づいた.#pytorch3d

ウサギとイルカのメッシュを混ぜてバッチ処理 #pytorch3d

hayamatomoe's tweet image. ウサギとイルカのメッシュを混ぜてバッチ処理 #pytorch3d

#PyTorch3D is a highly modular and optimized library for 3D deep learning built by @FacebookAI. The library is designed to provide the tools and resources necessary to make 3D deep learning easier with PyTorch. Learn more: bit.ly/3ca53bF

MetaforDevs's tweet image. #PyTorch3D is a highly modular and optimized library for 3D deep learning built by @FacebookAI. The library is designed to provide the tools and resources necessary to make 3D deep learning easier with PyTorch. Learn more: bit.ly/3ca53bF

⚡ Newsletter #43 ⚡ – #JupyterLab Desktop App – #PyTorch3D - A library for #deeplearning with 3D data – #Podcast with Dominique Madier on FEA – Course: #Python Specialization – Book: Real-World #Cryptography (@ManningBooks) Subscribe & read for free: jousef.substack.com/p/episode_43sh


Nothing worse on a Sunday night than battling CUDA configs for PyTorch3D #pytorch #Pytorch3D #Colab #couldhavehadbettersundayplans #pain


A10 Parkinglot Testing 100% 42/42 [2:34:29<00:00, 220.70s/it] with #PyTorch 2 #CUDA 11.8 #pytorch3d 0.7.4 #kaolin 0.14.0


ItS aLL iN tHe MaTh BrO!! 🤷 #PyTorch3d #computervision Context: someone asked about weird behavior in the Laplacian smoothing operation causing spikes in meshes

rohitrango's tweet image. ItS aLL iN tHe MaTh BrO!! 🤷 #PyTorch3d #computervision 

Context: someone asked about weird behavior in the Laplacian smoothing operation causing spikes in meshes

Uniform sampling of a 3D mesh. This class is fun :) (Learning for 3D Vision) #pytorch3d


For the stimulus space, we used the Basel Face Model (faces.dmi.unibas.ch/bfm/bfm2019.ht…). @wenxuan_guo_ skillfully implemented BFM rendering in #PyTorch3D, allowing us to optimize face parameters with SGD. 7/13


For the stimulus space, we used the Basel Face Model (faces.dmi.unibas.ch/bfm/bfm2019.ht…). @wenxuan_guo_ skillfully implemented BFM rendering in #PyTorch3D, allowing us to optimize face parameters with SGD. 7/13


#pytorch3d ift.tt/Cnmv3NQ PyTorch3D is FAIR's library of reusable components for deep learning with 3D data #github #githubtrending


3D Deep Learning with #PyTorch3D is way easier and faster than conventional methods, and many AI innovators and researchers are rooting for it. These are its USPs: bit.ly/3tR217d #PyTorch #python #pythonprogramming #pythonprogramminglanguage #Artiba

ARTiBA_Insights's tweet image. 3D Deep Learning with #PyTorch3D is way easier and faster than conventional methods, and many AI innovators and researchers are rooting for it. These are its USPs: bit.ly/3tR217d

#PyTorch #python #pythonprogramming #pythonprogramminglanguage #Artiba

Torus → castle One year ago I was playing with 3D loss functions implemented in #PyTorch3D. These are essential for geometric machine learning. Eventually this research path led me to lattices and graph structures, which are my current focus. #machinelearning #motiondesign


2nd take on the "Blue Whale Knight" creature . The model deviates wildly from the basic #SMPL human. Shields and fins appeared, and legs atrophied as those of marine mammals. Spectral vertex features work well when you want to depict such smooth forms. #AIart #Pytorch3d #3dart


Would you wear such a costume on #Halloween ? "The Blue Whale Knights" were awesome warriors in the Berserk manga. As many other characters there, they combine animal elements in their armor design. I could evolve a very detailed mesh for that text. #AIart #pytorch3d #3dart


3D Virtual Environments are usually based on renderers (target renderers) that have more advanced features (e.g. image quality) than the ones that are supported by versatile differentiable renderers (#pytorch3d), that we refer to as surrogate renderers. 3/6

TiezziMatteo's tweet image. 3D Virtual Environments are usually based on renderers (target renderers) that have more advanced features (e.g. image quality) than the ones that are supported by versatile differentiable renderers (#pytorch3d), that we refer to as surrogate renderers. 
3/6
TiezziMatteo's tweet image. 3D Virtual Environments are usually based on renderers (target renderers) that have more advanced features (e.g. image quality) than the ones that are supported by versatile differentiable renderers (#pytorch3d), that we refer to as surrogate renderers. 
3/6

Spoiled by 2D, I was shocked to find out there are no good ways to compute exact IoU of oriented 3D boxes. So, we came up with a new algorithm which is exact, simple, efficient and batched. Naturally, we have C++ and CUDA support #PyTorch3D Read more: tinyurl.com/27zywpws

georgiagkioxari's tweet image. Spoiled by 2D, I was shocked to find out there are no good ways to compute exact IoU of oriented 3D boxes. So, we came up with a new algorithm which is exact, simple, efficient and batched. Naturally, we have C++ and CUDA support #PyTorch3D

Read more: tinyurl.com/27zywpws

何個かの椅子を学習させてつくった椅子 #pytorch3d

hayamatomoe's tweet image. 何個かの椅子を学習させてつくった椅子 #pytorch3d

ItS aLL iN tHe MaTh BrO!! 🤷 #PyTorch3d #computervision Context: someone asked about weird behavior in the Laplacian smoothing operation causing spikes in meshes

rohitrango's tweet image. ItS aLL iN tHe MaTh BrO!! 🤷 #PyTorch3d #computervision 

Context: someone asked about weird behavior in the Laplacian smoothing operation causing spikes in meshes

Today we released code for SynSin, our CVPR'20 oral that generates novel views from a single image: github.com/facebookresear… We have: - Pretrained models - Jupyter notebook demos - Training and evaluation - #pytorch3d integration Congrats to @oliviawiles1 on the release!


機械学習してつくった植物 #pytorch3d

hayamatomoe's tweet image. 機械学習してつくった植物 #pytorch3d

We demonstrate utility of TyXe by integrating it with #PyTorch for Uncertainty and OOD, #PyTorch3D, and DGL to run Bayesian ResNets, Bayesian GNNs, and Bayesian Neural Radience Fields. No cows were harmed or mis-inferred during this process (see this little NeRF demo) 4/5

Tkaraletsos's tweet image. We demonstrate utility of TyXe by integrating it with #PyTorch for Uncertainty and OOD, #PyTorch3D, and DGL to run Bayesian ResNets, Bayesian GNNs, and Bayesian Neural Radience Fields. No cows were harmed or mis-inferred during this process (see this little NeRF demo) 4/5

飛行機を学習してモデリング #pytorch3d

hayamatomoe's tweet image. 飛行機を学習してモデリング #pytorch3d

Pytorch3d now provides clean code to fit textured mesh, textured volume and simple neural-radiance-field. Plenty of handy 3D utils there, and very good tutorials/docs. Here some examples fitting Suzanne pytorch3d.org #pytorch3d #neuralrendering


3D Virtual Environments are usually based on renderers (target renderers) that have more advanced features (e.g. image quality) than the ones that are supported by versatile differentiable renderers (#pytorch3d), that we refer to as surrogate renderers. 3/6

TiezziMatteo's tweet image. 3D Virtual Environments are usually based on renderers (target renderers) that have more advanced features (e.g. image quality) than the ones that are supported by versatile differentiable renderers (#pytorch3d), that we refer to as surrogate renderers. 
3/6
TiezziMatteo's tweet image. 3D Virtual Environments are usually based on renderers (target renderers) that have more advanced features (e.g. image quality) than the ones that are supported by versatile differentiable renderers (#pytorch3d), that we refer to as surrogate renderers. 
3/6

トーラスから機械学習したスタンフォードのウサギちゃん #pytorch3d

hayamatomoe's tweet image. トーラスから機械学習したスタンフォードのウサギちゃん #pytorch3d

入力した画像のシルエットをもとに、カメラ位置の最適化を行うPyTorch3dのチュートリアルを試してみた。収束した位置からレンダリングしたモデルがずれている。。数値上目標の位置はほとんどずれてないはずなのになぜだろう #PyTorch3d


一晩徹夜で学習させたら多少はうさぎに近づいた.#pytorch3d

hayamatomoe's tweet image. 一晩徹夜で学習させたら多少はうさぎに近づいた.#pytorch3d

ウサギとイルカのメッシュを混ぜてバッチ処理 #pytorch3d

hayamatomoe's tweet image. ウサギとイルカのメッシュを混ぜてバッチ処理 #pytorch3d

#PyTorch3D is a highly modular and optimized library for 3D deep learning built by @FacebookAI. The library is designed to provide the tools and resources necessary to make 3D deep learning easier with PyTorch. Learn more: bit.ly/3ca53bF

MetaforDevs's tweet image. #PyTorch3D is a highly modular and optimized library for 3D deep learning built by @FacebookAI. The library is designed to provide the tools and resources necessary to make 3D deep learning easier with PyTorch. Learn more: bit.ly/3ca53bF

1.0 Fastai2: Deep Learning meets Computational Design: Transfer Learning. Inspired by my great teachers @jeremyphoward @math_rachel I decided to start my blog. Math <---> Code Design <--> Code bimhox.com/2020/03/21/fir… #fastai2 #pytorch3d #deeplearning #gan #pytorch #grasshopper

albertotono3's tweet image. 1.0 Fastai2: Deep Learning meets Computational Design: Transfer Learning. 
Inspired by my great teachers @jeremyphoward @math_rachel I decided to start my blog.
Math &amp;lt;---&amp;gt; Code
Design &amp;lt;--&amp;gt; Code
bimhox.com/2020/03/21/fir…
#fastai2 #pytorch3d #deeplearning #gan #pytorch #grasshopper

Facebook just introduced PyTorch3D: An open-source library for 3D deep learning: ai.facebook.com/blog/-introduc… #AI #PyTorch3D #NeuralNetworks #DeepLearning #PyTorch


Facebook just introduced PyTorch3D: An open-source library for 3D deep learning: ai.facebook.com/blog/-introduc… #AI #PyTorch3D #NeuralNetworks #DeepLearning #PyTorch


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