Generative Adversarial Network (GAN)

39 Posts

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.
2 min read
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Artistry Is Obsolete: Is AI Making Human Artists Obsolete?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.
2 min read
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.
2 min read
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
3 min read
Sequence of famous arcade games' scenes
Generative Adversarial Network (GAN)

Solve RL With This One Weird Trick

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.
2 min read
Detection of a digitally altered image of a frog holding a violin
Generative Adversarial Network (GAN)

Fighting Fakes

A supergroup of machine learning models flags manipulated photos. Jigsaw, a tech incubator owned by Alphabet, released a system that detects digitally altered images.
1 min read
Series of AI generated imagery
Generative Adversarial Network (GAN)

CLIP Art

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).
1 min read
A generative adversarial network (GAN)
Generative Adversarial Network (GAN)

Image Generation Transformed

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.
2 min read
Examples of image generators using GANsformer
Generative Adversarial Network (GAN)

Attention for Image Generation

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.
2 min read
Tag-Retrieve-Compose-Synthesize (TReCS)
Generative Adversarial Network (GAN)

Pictures From Words and Gestures

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.
2 min read
Images generated by a network designed to visualize what goes on in peoples’ brains while they watch Doctor Who
Generative Adversarial Network (GAN)

What the Brain Sees

What’s creepier than images from the sci-fi TV series Doctor Who? Images generated by a network designed to visualize what goes on in peoples’ brains while they watch Doctor Who.
2 min read
Examples of images being produced from noise
Generative Adversarial Network (GAN)

Images From Noise

Generative adversarial networks and souped-up language models aren’t the only image generators around. Researchers recently upgraded an alternative known as score-based generative models.
3 min read
Data related to adversarial learning
Generative Adversarial Network (GAN)

Adversarial Helper

Models that learn relationships between images and words are gaining a higher profile. New research shows that adversarial learning, usually a way to make models robust to deliberately misleading inputs, can boost vision-and-language performance.
2 min read
AI-generated images with the model DALL-E
Generative Adversarial Network (GAN)

Tell Me a Picture

Two new models show a surprisingly sharp sense of the relationship between words and images. OpenAI, the for-profit research lab, announced a pair of models that have produced impressive results in multimodal learning: DALL·E.
2 min read
Dozens of snowmen with different characteristics
Generative Adversarial Network (GAN)

This Snowman Does Not Exist

While generative adversarial networks were infiltrating cultural, social, and scientific spheres, they quietly transformed the web into a bottomless well of synthetic images of . . . well, you name it.
1 min read

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