Generative Adversarial Network (GAN)

46 Posts

Illustration of the Dialogue Transformer Language Model (DLM)
Generative Adversarial Network (GAN)

The Sound of Conversation: AI Learns to Mimic Conversational Pauses and Interruptions

In spoken conversation, people naturally take turns amid interjections and other patterns that aren’t strictly verbal. A new approach generated natural-sounding audio dialogs without training on text transcriptions that mark when one party should stop speaking and the other should chime in.
Different images generated by DALL·E
Generative Adversarial Network (GAN)

Text-to-Image Goes Viral: Inside Craiyon, Formerly Known as DALL-E Mini

A homebrew re-creation of OpenAI’s DALL·E model is the latest internet sensation. Craiyon has been generating around 50,000 user-prompted images daily, thanks to its ability to produce visual mashups like Darth Vader ice fishing and photorealistic Pokemon characters.
Didactic diagram of a hypothetical embedded-model architecture
Generative Adversarial Network (GAN)

Image Generation + Probabilities: New Method Boosts Performance for Normalizing Flow

If you want to both synthesize data and find the probability of any given example — say, generate images of manufacturing defects to train a defect detector and identify the highest-probability defects — you may use the architecture known as a normalizing flow.
AI-generated portraits
Generative Adversarial Network (GAN)

Your Salesbot Connection: How Marketers Use AI to Generate New Leads

Marketers are using fake social media personas — enhanced by AI-generated portraits — to expand their reach without busting their budgets.
Schematic of the model architecture showing the generator with spatial latent vectors
Generative Adversarial Network (GAN)

Weather Forecast by GAN: GAN improves short-term rainfall predictions.

A new deep learning technique increased the precision of short-term rainfall forecasts. Researchers developed the Deep Generative Model of Radar (DGMR) to predict amounts of precipitation up to two hours in advance.
Woman walking on a store scanning codes
Generative Adversarial Network (GAN)

Let the Model Choose Your Outfit: Inside Amazon's AI-powered clothes stores.

Amazon’s first brick-and-mortar clothing store is getting ready to deliver automated outfit recommendations. The ecommerce giant announced plans to open a flagship Amazon Style location at a Los Angeles-area mall this year.
Alexei Efros
Generative Adversarial Network (GAN)

Alexei Efros: Learning from the ground up

Things are really starting to get going in the field of AI. After many years (decades?!) of focusing on algorithms, the AI community is finally ready to accept the central role of data and the high-capacity models that are capable of taking advantage of this data.
Illustration showing a witch cooking a copy of the Mona Lisa wearing a witch hat)
Generative Adversarial Network (GAN)

Artistry Is Obsolete: Is AI Making Human Artists Obsolete?

Is human creativity being replaced by the synthetic equivalent? The fear: AI is cranking out increasingly sophisticated visual, musical, and literary works. AI-generated media will flood the market, squeezing out human artists and depriving the world of their creativity.
GIF showing an orchestra playing music
Generative Adversarial Network (GAN)

Roll Over, Beethoven: AI Completes Beethoven's 10th Symphony

Ludwig van Beethoven died before he completed what would have been his tenth and final symphony. A team of computer scientists and music scholars approximated the music that might have been.
Animation showing image-to-image style transfer — mapping process
Generative Adversarial Network (GAN)

AI With a Sense of Style: Style Transfer Method Produces Consistent Output in Successive Frames

The process known as image-to-image style transfer — mapping, say, the character of a painting’s brushstrokes onto a photo — can render inconsistent results. When they apply the styles of different artists to the same target
Sequence of famous arcade games' scenes
Generative Adversarial Network (GAN)

Solve RL With This One Weird Trick: How to get better performance from reinforcement learning.

The previous state-of-the-art model for playing vintage Atari games took advantage of a number of advances in reinforcement learning (RL). The new champion is a basic RL architecture plus a trick borrowed from image generation.
Series of AI generated imagery
Generative Adversarial Network (GAN)

CLIP Art: Creating AI art by pairing CLIP with GAN models

Creative engineers are combining deep learning systems to produce a groundswell of generated imagery. Researchers, hackers, and artists are producing new works by pairing CLIP, a pretrained image classifier, with a generative adversarial network (GAN).
A generative adversarial network (GAN)
Generative Adversarial Network (GAN)

Image Generation Transformed: New research combines GANs with transformers.

A recent generative adversarial network (GAN) produced more coherent images using modified transformers that replaced fully connected layers with convolutional layers. A new GAN achieved a similar end using transformers in their original form.
Examples of image generators using GANsformer
Generative Adversarial Network (GAN)

Attention for Image Generation: Combining GANs and transformers for more believable images.

Attention quantifies how each part of one input affects the various parts of another. Researchers added a step that reverses this comparison to produce more convincing images.
Tag-Retrieve-Compose-Synthesize (TReCS)
Generative Adversarial Network (GAN)

Pictures From Words and Gestures: AI model generates captions as users mouse over images.

A new system combines verbal descriptions and crude lines to visualize complex scenes. Google researchers led by Jing Yu Koh proposed Tag-Retrieve-Compose-Synthesize (TReCS), a system that generates photorealistic images by describing what they want to see while mousing around on a blank screen.

Subscribe to The Batch

Stay updated with weekly AI News and Insights delivered to your inbox