Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...
Abstract: Camouflaged Object Detection (COD) aims to segment objects resembling their environment. To address the challenges of extensive annotations and complex optimizations in supervised learning, ...
Katelyn is a writer with CNET covering artificial intelligence, including chatbots, image and video generators. Her work explores how new AI technology is infiltrating our lives, shaping the content ...
As AI automates the work that once trained junior lawyers, firms must rethink how capability is built. New simulation-led and AI-enabled training models may offer a better path forward. For decades, ...
OpenAI Group PBC today launched GPT Image 1.5, a new artificial intelligence model optimized for image generation tasks. The algorithm is rolling out a few weeks after Google LLC introduced a new ...
OpenAI is rolling out a new version of ChatGPT Images that promises better instruction-following, more precise editing, and up to 4x faster image generation speeds. The new model, dubbed GPT Image 1.5 ...
The company is positioning it as especially good for enterprise use. The company is positioning it as especially good for enterprise use. is The Verge’s senior AI reporter. An AI beat reporter for ...
ChatGPT Images doesn’t roll off the tongue like Nano Banana, but OpenAI finally has an answer for Google's uber-popular AI image editor. The company's "new flagship image generation model" is ...
The ability to distinguish whether an image is generated by artificial intelligence (AI) is a crucial ingredient in human intelligence, usually accompanied by a complex and dialectical forensic and ...
The Mixture of Experts (MoE) models are an emerging class of sparsely activated deep learning models that have sublinear compute costs with respect to their parameters. In contrast with dense models, ...
We present RobusTok, a new image tokenizer with a two-stage training scheme: Main training → constructs a robust latent space. Post-training → aligns the generator’s latent distribution with its image ...
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