Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...
Abstract: This paper presents Bottom-up Residual vector quantization for learned Image Compression (BRIC). This novel deep learning-based image compression method quantizes latent representations ...
It’s all hands on deck at Meta, as the company develops new AI models under its superintelligence lab led by Scale AI co-founder, Alexandr Wang. The company is now working on an image and video model ...
AI tools like Google’s Veo 3 and Runway can now create strikingly realistic video. WSJ’s Joanna Stern and Jarrard Cole put them to the test in a film made almost entirely with AI. Watch the film and ...
Abstract: Visual servoing is established as a theoretically reliable scheme for achieving high-precision robotic control. However, various image and physical constraints inevitably limit the ...
What if you could turn a simple image into fully functional code, without lifting a finger to write it yourself? The rise of AI-powered tools like Claude Code is making this a reality, and it’s not ...
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 ...
Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
A program for deafblind children helped 3-year-old Annie Garner, born with poor vision and no ears, learn to communicate. The Trump administration cut the program’s funding over diversity goals. By ...
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