Our paper on "Hellinger loss function for Generative Adversarial Networks" is posted in arXiv at http://arxiv.org/abs/2512.12267
#Statistics
#HellingerDistance
#NeuralNetworks
#GenerativeAdversarialNetworks
#RobustStatistics
#InfluenceFunction

🎓 Ah yes, another 8-minute math lecture turned #snoozefest where "Generative Adversarial Networks" are explained like a bedtime story for data science insomniacs. 🤖💤 Spoiler: it's just another epic battle between a generator and a discriminator, but don't hold your breath for any worthwhile entertainment or clarity. 🥱
https://jaketae.github.io/study/gan-math/ #GenerativeAdversarialNetworks #MathLecture #DataScience #AIEntertainment #HackerNews #ngated

Explore Generative Adversarial Networks (GANs). Learn about their components, types, and real-world use cases in image generation, video editing, and more.

More details: https://solguruz.com/generative-ai/what-is-generative-adversarial-networks-gans/

#generativeadversarialnetworks
#gans
#genAI

I find #GenerativeAdversarialNetworks (GANs) to be a form of meta-speculation: a speculative framework which operates at the core of speculative #AI apparatus. No wonder this speculative logic is redundantly used for #deepfakes.

Die Neugestaltung der Plattformökonomie: Synergie von #KI-Innovationen und #DataGovernance https://now.digital/world-of-data/die-neugestaltung-der-plattformoekonomie-synergie-von-ki-innovationen-und-data-governance/ #Blockchain, #DistributedLedgerTechnologien, #EdgeComputing, #GenerativeAdversarialNetworks, #MaschinellemLernen, #Plattformökonomie, #VariationalAutoencoders

I was curious whether it would be possible to let #GANs generate samples conditioned on a specific input type. I wanted the GAN to generate samples of a specific digit, resembling a personal poor man’s mini #DALLE 😅. And indeed, I found a GAN architecture, that allows so-called #ConditionalGANs 💫

🌎 https://www.fabriziomusacchio.com/blog/2023-07-30-cgan/

#MachineLearning #GenerativeAdversarialNetworks

GANs - Generative Adversarial Networks, the boundary-pushing machine learning model that crafts new data instances resembling the training data. 🧠

#GenerativeAdversarialNetworks #MachineLearning #AIInnovation #TechBreakthrough #DataGeneration #MastodonAI #TechWonder #ShareTheKnowledge

The #Wasserstein #metric (#EMD) can be used, to train #GenerativeAdversarialNetworks (#GANs) more effectively. This tutorial compares a default GAN with a #WassersteinGAN (#WGAN) trained on the #MNIST dataset.

🌎 https://www.fabriziomusacchio.com/blog/2023-07-29-wgan/

#MachineLearning

Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold

a new point tracking approach, anyone can deform an image with precise control over where pixels go, thus manipulating the pose, shape, expression, and layout of diverse categories such as animals, cars, humans, landscapes, etc.

#video #deepfake #generativeadversarialnetworks #GAN #machinelearning #artificialintelligence #AI #generativeAI #technology #tech #innovation

https://vcai.mpi-inf.mpg.de/projects/DragGAN/

Milky Way - lactose is everywhere.
Even in our galaxy.
#digitalArt #aiart #newmediaart #digitalArt #midjourney #generativeadversarialnetworks #surrealism #DarkAesthetic #milkyway #ai

21. Türchen

Am Sonntag ging es um generative Sprachmodelle; heute schauen wir uns KI-Methoden zur Generierung von Bildern an.

Auch dieser Bereich hat in den letzten Wochen und Monaten einen regelrechten Hype erlebt. Hand auf’s Herz, wer hat schon 6,99€ bezahlt um von Lensa AI 50 “Magic Avatars” von sich in verschiedenen artistischen Stilen generieren zu lassen?

#AI #Imaging #GenerativeModels #GenerativeAdversarialNetworks #StableDiffusion #GenerativeArt #Artist #Forgery

New preprint: Signature and Log-signature for the Study of Empirical Distributions Generated with GANs #GenerativeAdversarialNetworks #SignatureTransform
https://arxiv.org/abs/2203.03226

Diese Person existiert nicht

https://seeseekey.net/archive/126963/

#Chemikalie #DeepLearning #Foto #GAN #GenerativeAdversarialNetworks #GitHub #Katze #Mensch #NeuronaleNetze #NvidiaSourceCodeLicense #Person #Personen #Quellcode #Web

NVIDIA Canvas Uses AI to Turn Your Doodles into ‘Photos’

NVIDIA has announced Canvas, an app that is available as a free beta that it says brings real-time painting tools to anyone with an NVIDIA RTX GPU. It uses artificial intelligence to make rudimentary sketches or doodles into photorealistic scenes.

Canvas is part of NVIDIA Studio, which is a program that provides artists and creators with both hardware and software tools to assist in bringing creative visions to life. Canvas appears to be the consumer-facing version of the app that NVIDIA showcased in 2019, but what is shown here is far more advanced than what was teased back then.

In Canvas, users can start sketching simple shapes and lines using a palate of 15 tools such as mountains, clouds, grass, or weather effects and the artificial intelligence model will turn those into a photorealistic scene in real-time.

What looks like a sketch made in Microsoft Paint is transformed into a lifelike scene instantly and with jaw-dropping quality.

"The tool allows artists to use style filters, changing a generated image to adopt the style of a particular painter," NVIDIA explains. "NVIDIA Canvas isn’t just stitching together pieces of other images, or cutting and pasting textures, but creating brand new images, just like an artist would."

The algorithm is aided by the tools palate in Canvas so that it understands what the artist is intending to show, but the results are still extremely impressive. NVIDIA says that the creative applications of the tool are "endless" and that it can help artists ideate faster than before, which is normally a far more time-consuming task.

Lines and shapes turn into life-like landscapes in seconds. | NVIDIA

"It can also bring time savings to a range of creators and designers," NVIDIA explains. "Consider an art director on a time crunch who needs to refine the hero product in an ad campaign. A landscape will complete the shot. Using NVIDIA Canvas, the director is only a few clicks from generating several beautifully rendered images. In a matter of moments, the tool provides multiple options for the client to review, saving precious time before finalizing the featured product."

https://www.nvidia.com/content/dam/en-zz/Solutions/studio/canvas/feature-1-630x354.webm

Canvas uses a form of artificial intelligence called "generative adversarial networks," or GAN. It is the same technology that NVIDIA has used in previous AI algorithms, like its tool that can create photorealistic faces. GANs consist of a generator and a discriminator that work together. A generator aims to convert material maps into images, and the discriminator understands certain aspects of what is generated. For example, the discriminator knows that water has reflections, and can tell the generator to create a representation of that.

"To deliver realistic portraits for artists, the GAN has been trained on an NVIDIA DGX system using over 5 million images," NVIDIA says.

The Canvas beta can be downloaded for free now, and NVIDIA is soliciting feedback on its forums.

#news #software #technology #ai #artificialintelligence #artificialintelligenceediting #artificialintelligencephotos #beta #canvasapp #gan #generativeadversarialnetworks #nvidia #nvidiacanvas

Facebook launches $10m deepfake detection project - If you're worried about the evil potential of deepfake video, you're not alone; so is Facebook. more: https://nakedsecurity.sophos.com/2019/09/09/facebook-launches-10m-deepfake-detection-project/ #generativeadversarialnetworks #artificialintelligence #securitythreats #socialnetworks #microsoft #deepfakes #facebook #fakenews #ai

https://arxiv.org/abs/1811.03850# #MachineLearning: MD #GAN : Multi-Discriminator #GenerativeAdversarialNetworks for #DistributedDatasets