the-decoder

Google's new open model DiffusionGemma generates text from noise instead of word by word

Google has released DiffusionGemma, an experimental language model that generates text using a diffusion-based method, producing blocks of 256 tokens at once rather than generating text word by word.
GitHub

Open-source script that aims to address some of the numerous issues GTA:V has.

It's compatible with both Legacy and Enhanced. It's tested on Legacy b1180 & b3521, Enhanced b812 & b1013. It's theoretically compatible with every game version since b335 (ScriptHook base). To my ...
GitHub

OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects Supervision

OV-DQUO is an open-vocabulary detection framework that learns from open-world unknown objects through wildcard matching and contrastive denoising training methods, mitigating performance degradation ...
IEEE

An Encoding Table Corresponding to ASCII Codes for DNA Data Storage and a New Error Correction Method HMSA

Abstract: DNA storage stands out from other storage media due to its high capacity, eco-friendliness, long lifespan, high stability, low energy consumption, and low data maintenance costs. To ...
IEEE

Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

Abstract: We present ODISE: Open-vocabulary DIffusion-based panoptic SEgmentation, which unifies pre-trained text-image diffusion and discriminative models to perform open-vocabulary panoptic ...