Researchers from Microsoft Research Asia, Zhejiang University, College of William & Mary, and Tsinghua University recently introduced a novel method, DiLightNet, to address the challenge of fine-grained lighting control in text-driven diffusion-based image...

The significance of computing and data size is undeniable in large-scale multimodal learning. Still, collecting data from high-quality video text is always challenging due to its temporal structure. Vision-language datasets (VLDs) like HD-VILA-100M and HowTo100M are...

The pursuit of high-fidelity 3D representations from sparse images has seen considerable advancements, yet the challenge of accurately determining camera poses remains a significant hurdle. Traditional structure-from-motion methods often falter when faced with limited...

In the evolving landscape of predictive analytics, the art and science of forecasting stand as pivotal tools for decision-making across various sectors, from government policy to corporate strategy. Forecasting has relied heavily on statistical methods, thriving on...

In recent years, the landscape of natural language processing (NLP) has been dramatically reshaped by the emergence of Large Language Models (LLMs). Spearheaded by pioneers like ChatGPT and GPT-4 from OpenAI, these models have demonstrated an unprecedented proficiency...

Artificial intelligence has paved the way for innovations in various fields, including virtual reality and game design. Researchers are now exploring the possibilities of creating dynamic, interactive environments that users can manipulate and explore. This research...