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20162025
most citedAdversarial Transformation Networks: Learning to Generate Adversarial Examples

223 citations · 234 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

Making Images from Images: Interleaving Denoising and Transformation

Shumeet Baluja, David Marwood, Ashwin Baluja

Simply by rearranging the regions of an image, we can create a new image of any subject matter. The definition of regions is user definable, ranging from regularly and irregularly-…

cs.CV2023

Diversity and Diffusion: Observations on Synthetic Image Distributions with Stable Diffusion

David Marwood, Shumeet Baluja, Yair Alon

Recent progress in text-to-image (TTI) systems, such as StableDiffusion, Imagen, and DALL-E 2, have made it possible to create realistic images with simple text prompts. It is temp…

cs.CV2021

Texture for Colors: Natural Representations of Colors Using Variable Bit-Depth Textures

Shumeet Baluja

Numerous methods have been proposed to transform color and grayscale images to their single bit-per-pixel binary counterparts. Commonly, the goal is to enhance specific attributes…

cs.CV2018

Neural Image Decompression: Learning to Render Better Image Previews

Shumeet Baluja, Dave Marwood, Nick Johnston +1

A rapidly increasing portion of Internet traffic is dominated by requests from mobile devices with limited- and metered-bandwidth constraints. To satisfy these requests, it has bec…

cs.CV2018

Representing Images in 200 Bytes: Compression via Triangulation

David Marwood, Pascal Massimino, Michele Covell +1

A rapidly increasing portion of internet traffic is dominated by requests from mobile devices with limited and metered bandwidth constraints. To satisfy these requests, it has beco…

cs.CV2016

Learning Typographic Style

Shumeet Baluja

Typography is a ubiquitous art form that affects our understanding, perception, and trust in what we read. Thousands of different font-faces have been created with enormous variati…