Researchers introduce ViTok, a Vision Transformer-based auto-encoder that scales visual tokenization to enhance image and video generation while reducing computational costs.

There is also a need to understand how design choices in auto-encoders influence performance metrics such as fidelity, compression, and generation. Researchers from Meta and UT Austin have addressed ...

Variational Graph Auto-Encoders (VGAE) and other Bayesian methods have been ... Specifically, in order to obtain the reversible transformer, inspired by RealNVP, affine transformations on graphs are ...

V14 will use auto-regressive transformers. This technology will help FSD predict the plans and paths of the surrounding ...

It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM ...

It features a split visual encoding system and a unified transformer architecture, aiming for efficiency in processing. The AI model utilises: • SigLIP-L vision encoder for image understanding.

Optimus Prime, the iconic Autobot leader, is the best hero in the Transformers universe. The Transformers franchise has been a staple of cinema for over a decade thanks to Michael Bay and the ...

A  new technical paper titled “Accelerating OTA Circuit Design: Transistor Sizing Based on a Transformer Model and ...

COLORFUL's funky iGAME Ultra design is a looker, but not for everyone. However, its 4K gaming performance with DLSS 4 ...