Text-to-image diffusion models are among the best advances in the field of Artificial Intelligence (AI). However, there are constraints associated with personalizing existing text-to-image diffusion models with various concepts. The current personalization methods are not able to extend to numerous ideas consistently, and it attributes this problem to a possible mismatch between the simple text…

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 views, prompting a shift towards learning-based strategies that aim to predict camera poses from a sparse image set. These innovative approaches…

In the ever-evolving domain of remote identification technologies, gait recognition stands out for its unique capacity to identify individuals from a certain distance without requiring direct engagement. This cutting-edge approach leverages the distinctive walking patterns of each person, offering a seamless integration into surveillance and security systems. Its non-intrusive nature distinguishes it from more conventional…