Recent progress in generative artificial intelligence (gen-AI) has enabled the generation of photo-realistic and artistically-inspiring photos at a single click, catering to millions of users online. To explore how people use gen-AI models such as DALLE and StableDiffusion, it is critical to understand the themes, contents, and variations present in the AI-generated photos.

Fans Call on Taylor Swift to'Do Better' After Accusations of Using AI for Promo Videos A scavenger hunt campaign to promote Taylor Swift's new album, resulted in a viral #SwiftiesAgainstAI campaign. Fans attend a screening of at a theater in Los Angeles. These were just some of the alleged clues that fans spotted in promo videos for Taylor Swift's new album,, this weekend. They were, to their eyes, telltale indicators that the videos were purportedly made with generative AI . "The first sign that it was AI was that it didn't look great," claims Marcela Lobo, a graphic designer in Brazil who has been a Swift fan since she was 12. "It was wonky, the shadows didn't match, the windows and the painted piano, it looked like shit, basically."

Text-guided image editing is widely needed in daily life, ranging from personal use to professional applications such as Photoshop. However, existing methods are either zero-shot or trained on an automatically synthesized dataset, which contains a high volume of noise. Thus, they still require lots of manual tuning to produce desirable outcomes in practice.

They are used in our experiments section. OpenAI GPT -4 based prompts The input template for OpenAI GPT -4 is defined as: Please describe the appearance of [class_name] in endoscopic surgery, and change the description to a phrase with subject, and not use colons. The dataset consists of both training and test cases. Each video is recorded at 25 FPS and has annotations for instruments and operation phases. For EndoVis2019, the results are shown in Tab. 1, our method (input size 448) notably surpasses the competition's top performers, with +3% increase in DSC and +2% enhancement in NSD, which demonstrates the superiority of our method.

We utilize the same experimental setup as the "High-quality Fifty-participant Human

KAN oversaw the project and contributed valuable feedback. MindEye was developed using a training and validation set of Subject 1's data, with the test set (and other subjects' data) untouched until final PyTorch code for the MLP backbone and projector is depicted in Algorithm 1. Specifics on how we DALL-E 2. This makes our prior much faster at inference time. For simplicity we use bidirectional attention in our final model. To map to Stable Diffusion's V AE latent space we use a low-level pipeline with the same architecture as the high level pipeline. Recent works in low-level vision (super-resolution, denoising, deblurring, etc.) have observed that This performs worse than only applying the loss in latent space and also requires significantly more GPU memory.

Booth is a reporter at TIME. Governor Gavin Newsom speaks at Google about preparing students and workers for the next generation of technology, in San Francisco, California, on August 7, 2025. Governor Gavin Newsom speaks at Google about preparing students and workers for the next generation of technology, in San Francisco, California, on August 7, 2025. Booth is a reporter at TIME. CEOs of the companies racing to build smarter AI--Google DeepMind, OpenAI, xAI, and Anthropic--have been clear about the stakes.

In this work, our goal is to retrain the model to only forget specific concepts, i.e., to induce

For each image, the pathologist provides binary feedback, labeling a synthetic image as "1" if it fails to meet all of the plausibility criteria.