[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An ...

Learn how to post-train Cosmos Autoregressive-based World Foundation Models (WFMs) using the NVIDIA NeMo Framework for your custom Physical AI tasks by following this guide. The NeMo Framework ...

The unified approach enabled the team to take advantage of the strengths of autoregressive pretraining in both domains. The Toto models use dVAE tokenization with an 8k-token vocabulary to process ...

Specifically, VarAD first extracts multihierarchy and multidirectional visual token sequences, and then employs an advanced model, Mamba, for visual autoregressive modeling and token prediction.

VanEck forecasts SOL to reach $520 by end of 2025, driven by projected M2 money supply growth to $22.3T and Solana's expected ...

Our method combines slow-sampled assays with fast-sampled process measurements. An autoregressive moving average with extra inputs (ARMAX) model is used for feature extraction, while an improved ...

Asset manager VanEck says Solana could surge to $520 per token by the end of 2025, according to their latest market report ...

In the not-too-distant future, genAI will make possible features that were previously either impossible or simply too expensive in the world of enterprise software.

The Chinese startup has released an image-generation model called Janus-Pro, aiming to take on US rivals DALL-E 3 and Stable ...

As the capabilities of generative AI models have grown, you've probably seen how they can transform simple text prompts into hyperrealistic images and even extended video clips.

Generative diffusion models like Stable Diffusion, Flux, and video models such as Hunyuan rely on knowledge acquired during a single, resource-intensive training session using a fixed dataset. Any ...