When it comes to clean energy, solar and wind often dominate the headlines. But in the lush, river-rich landscapes of ...

WorldVLA is an autoregressive action world model that unifies action and image understanding and generation. WorldVLA intergrates Vision-Language-Action (VLA) model (action model) and world model in ...

ABSTRACT: In recent years, metal contamination has become a major source of soil pollution in Bangladesh because of intensive agriculture practices, mining, industrialization, pesticides, untreated ...

This study explores climate change's symmetric and asymmetric impacts on rice production in Sri Lanka, a crucial sector for food security in the country. The analysis utilized Autoregressive ...

This repository implements PixelCNN, an autoregressive model for image generation. It generates images pixel by pixel using masked convolutions to maintain directional dependencies. During inference, ...

This study presents the maiden empirical evidence disintegrating the impacts of natural resources on environmental sustainability into production and consumption models. For easy trackability of the ...

High-resolution, photorealistic image generation presents a multifaceted challenge in text-to-image synthesis, requiring models to achieve intricate scene creation, prompt adherence, and realistic ...

Abstract: Water is very important natural resource for the human beings, animals etc. The quality of water depends on multiple factors so it is vital for us to maintain the quality of water so that we ...