_TFGraphics_ retweeted
๐ข๐ข๐ข Happy to introduce that "Kubric: a scalable dataset generator" was accepted at #CVPR2022.
arxiv.org/abs/2203.03570
โย Do you work on video and/or 3D vision from images?
โย Having a hard time applying the "scientific method" to your research?
Look no further ๐งต๐
Full implementation of Neural Radiance Fields now in TF-Graphics, including ray sampling with various strategies (including coarse-to-fine), volumetric rendering, and so on!
github.com/tensorflow/graphiโฆ
_TFGraphics_ retweeted
2020 was the year in which *neural volume rendering* exploded onto the scene, triggered by the impressive NeRF paper by Mildenhall et al. I wrote a post as a way of getting up to speed in a fascinating and very young field and share my journey with you: dellaert.github.io/NeRF/
_TFGraphics_ retweeted
Join us this Friday at the Neurips workshop on Differentiable computer vision, geometry, and physics! Exciting speaker lineup!! Our schedule and accepted papers are up on our webpage montrealrobotics.ca/diffcvgpโฆ @MontrealRobots @Mila_Quebec @UofTRobotics (1/3)
_TFGraphics_ retweeted
Our new paper "๐๐ง๐ฌ๐ฎ๐ฉ๐๐ซ๐ฏ๐ข๐ฌ๐๐ ๐ฉ๐๐ซ๐ญ ๐ซ๐๐ฉ๐ซ๐๐ฌ๐๐ง๐ญ๐๐ญ๐ข๐จ๐ง ๐๐ฒ ๐
๐ฅ๐จ๐ฐ ๐๐๐ฉ๐ฌ๐ฎ๐ฅ๐๐ฌ" is out arxiv.org/abs/2011.13920
TL;DR: are newborns exposed to 14 million (i.e. ImageNet) labeled images? No! They learn by observing motion... in an unsupervised fashion
_TFGraphics_ retweeted
We present nerfies! We use selfie videos to create 3d free-viewpoint portrait visualizations of yourself using Deformable NeRFs! More details at nerfies.github.io and below (1/8)
_TFGraphics_ retweeted
Rebain et al. "๐๐๐๐จ๐ฆ๐ฉ๐จ๐ฌ๐๐ ๐๐๐๐ข๐๐ง๐๐ ๐
๐ข๐๐ฅ๐๐ฌ (๐๐๐๐
)"
That is, the render time of NeRFs can be improved (by +๐๐๐%!) by decomposing the scene representation into many lower-capacity networks.
Collaboration {UBC, Google, SFU}
ubc-vision.github.io/derf
_TFGraphics_ retweeted
CvxNet was presented at CVPR 2020, and it is implemented with TensorFlow Graphics!
github.com/tensorflow/graphiโฆ
The code of Neural Articulated Shape Approximation is now released in our projects page!
github.com/tensorflow/graphiโฆ
CvxNet was presented at CVPR 2020, and it is implemented with TensorFlow Graphics!
github.com/tensorflow/graphiโฆ
TensorFlow Graphics is an official Google Open Source project. We're excited about our next steps! opensource.google/projects/tโฆ
You can now import 3D datasets such as ModelNet and ShapeNet and use them in your pipelines easily! github.com/tensorflow/graphiโฆ
We just published our roadmap for the next few months on GitHub. github.com/tensorflow/graphiโฆ Any feedback is welcome!
TensorFlow Graphics was released one year ago at Google I/O! You can find our introduction blog post in
blog.tensorflow.org/2019/05/โฆ
Have you seen our Mesh Segmentation demo?
You can train the model from scratch for free in Colab!
colab.research.google.com/giโฆ
Check out this great video of Neural Radiance Fields (NeRF)
The idea is to represent a scene using a deep network from a set of images with known camera poses.
youtube.com/watch?v=JuH79E8rโฆ
This is an excellent resource to learn about 3D Deep Learning with TensorFlow 2. Enjoy!
inovex.de/blog/3d-deep-learnโฆ
Did you miss the @TensorFlow Developer Summit? Make sure to check it out at youtube.com/playlist?list=PLโฆ
_TFGraphics_ retweeted
We are excited to update the Model Garden for TensorFlow 2 users. Check out new code examples for state-of-the-art models and reusable modeling libraries.
๐ท Read the blog โ goo.gle/2xG7ymg
Google Summer of Code is an excellent opportunity to contribute to open source, get exposed to cutting edge research and learn! We have some projects posted in: summerofcode.withgoogle.com/โฆ
