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We have released our
#pix2pixHD under the BSD license https://github.com/NVIDIA/pix2pixHD … (It was under CC non-commercial license.) Please feel free to use it. -
Recently I put together a small dataset of Bentley's classic snowflake photos, and trained a
#pix2pixhd model. Here I generated some shapes with Pts.js and ran them through the model. Initial results -- (I probably need to train it some more but it's so expensive!
) pic.twitter.com/djTFLNvUbv -
Glad to see that our
#GAN research works enable people to "generate realistic dance videos of NBA players for in-game entertainment."#pix2pixHD,#vid2vid https://medium.com/@getxpire/how-we-used-ai-to-make-nba-players-dance-2fdbe6c63a97 …pic.twitter.com/Xmd9rLk35AShow this thread -
I've created an experimental GAN architecture I call
#RecuResGAN or "Recursive-Residual GAN" and I am pretty astonished that: - it works at all - how well it works across a pretty wide range of scales. - it is just 15% the size of a comparable#pix2pixHD model pic.twitter.com/LCUoB2J7ql
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The
#pix2pixHD work by@berkeley_ai &@NvidiaAI is a hint at the future of design tools: https://www.youtube.com/watch?v=3AIpPlzM_qs … Code coming soon: https://tcwang0509.github.io/pix2pixHD/ -
Research at the lab | turning video games into interactive mode to question the value of designed pixels in future graphical productions | This is
#RDR2Online controlled with a body#ai#BigGAN#pix2pixHD pic.twitter.com/DrwnxjU6JbShow this thread -
#pix2pixHD by@NVIDIA "Synthesizing and manipulating 2048x1024 images with conditional GANs" https://tcwang0509.github.io/pix2pixHD/ pic.twitter.com/AfHsOnDzaiShow this thread -
Hopping on the
#pix2pixHD frame prediction train. Here's a feedback loop between 2 models, one trained to predict the next frame in a video, the other trained to predict the original frame from a version processed by the other model between 1 and 10 times. pic.twitter.com/kRTO57n8ohShow this thread -
Fireworks generation
@quasimondo style!#pix2pixHD#PyTorchpic.twitter.com/LyLeYvOXBQ -
Some generated snow crystals from
#pix2pixHD GAN, based on Wilson Bentley's classic photos. Training is still in progress, slowly slowly. More to come soon! pic.twitter.com/Ylf0H2NeNj
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Both models are shallow ResNets derived from
#Pix2PixHD. I first tried#pix2pix UNets, but there the models learned to cheat very quickly and just abused the first skip connection to pass the information almost uncompressed.Show this thread -
By the end of 2017 my efforts to improve resolution were obliterated by two major breakthroughs: in short succession
@nvidia first showed their highly realistic celebrities made with#PGAN and followed up with#pix2pixHD shortly after. https://twitter.com/quasimondo/status/928604109602770945?s=20 …
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1. Draw shapes in
#procreate, by hand 2. Run with#pix2pixhd, fingers crossed
pic.twitter.com/3s9jUxt148 -
The principle is pretty simple: in a classic residual architecture you chain several residual blocks behind each other (in
#pix2pixHD the default is 9 blocks), what I do in#RecuResGAN is to use a single block, but loop 9 times over it, feeding its output back into its input.Show this thread -
I personally think if this image is converted into segment ( how pix2pixhd works ) then i m sure var won’t make these types of errors. We need image to outline based concept here.
@facebookai@NvidiaAI#pix2pixhd@premierleaguehttps://twitter.com/JDNalton/status/1175399645218070528 …
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Some more initial results from a series that extends work exhibited at
#neurips4creativity. Using streetview data, we trained a#pix2pixhd model to transform depthmap images to photographic images. pic.twitter.com/90Fyl8k06G
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My first test of having a neural network trying to recreate a scene using pix2pixHD. The test data is from captured frames from a game I made in Unity, where each object is corresponding to a specific label. Enjoy! https://vimeo.com/248457508
#TensorFlow#pix2pixHD#Nvidia -
These are some snapshots from the training of my custom version of
#pix2pixHD using#DensePose on the Costică Acsinte archive. -
Thanks! There are 5 different GANs involved which employ my own architecture that owes a lot to
#pix2pix and#pix2pixHD.
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