#pytorch3d 검색 결과
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

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!
Victorian Octopus #WorldTour2022 Aaron Wacker - Digital Animation #3dAnimation #Pytorch3d #VQGAN #CLIP #Diffusion #pifuHD
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

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
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
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)
RT How to render 3D files using PyTorch3D dlvr.it/RymQWs #pytorch3d #3dmesh #rendering #python #imageprocessing

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

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
Code & models publicly available at github.com/radekd91/emoca. Developed with @PyTorch using @PyTorchLightnin and #Pytorch3D. Experiment tracking done with the irreplaceable @weights_biases tool. Big thank you for providing and maintaining these great tools.
Code & mode are publicly available at github.com/radekd91/emoca. Developed with @PyTorch using @PyTorchLightnin and #Pytorch3D. Experiment tracking done with the irreplaceable @weights_biases tool. Big thanks for providing and maintaining these great tools. (6/6)
Victorian Octopus #WorldTour2022 Aaron Wacker - Digital Animation #3dAnimation #Pytorch3d #VQGAN #CLIP #Diffusion #pifuHD
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


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

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

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
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

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 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

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
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

RT How to render 3D files using PyTorch3D dlvr.it/RymQWs #pytorch3d #3dmesh #rendering #python #imageprocessing

Facebook just introduced PyTorch3D: An open-source library for 3D deep learning: ai.facebook.com/blog/-introduc… #AI #PyTorch3D #NeuralNetworks #DeepLearning #PyTorch
Modular primitives for High-performance differentiable rendering arxiv.org/pdf/2011.03277… nice comparisons with #pytorch3d and #softras from @nvidia and @AaltoUniversity. #shapenet


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