Browsing: AI News
Integrating two-dimensional (2D) and three-dimensional (3D) data is a significant challenge. Models tailored for 2D images, such as those based on convolutional neural networks, need to…
The rapidly evolving domain of text-to-3D generative methods, the challenge of creating reliable and comprehensive evaluation metrics is paramount. Previous approaches have relied on specific criteria,…
Avatar technology has become ubiquitous in platforms like Snapchat, Instagram, and video games, enhancing user engagement by replicating human actions and emotions. However, the quest for…
Motion generation is a dynamic and challenging domain within computer vision dedicated to creating realistic human actions in digital environments. Its applications span animation, virtual reality,…
Creating visual content using AI algorithms has become a cornerstone of modern technology. AI-generated images (AIGIs), particularly those produced via Text-to-Image (T2I) models, have gained prominence…
Since it enables humans to teach robots any skill, imitation learning via human-provided demonstrations is a promising approach for creating generalist robots. Lane-following in mobile robots,…
Large language models have shown notable achievements in executing instructions, multi-turn conversations, and image-based question-answering tasks. These models include Flamingo, GPT-4V, and Gemini. The fast development…
Multimodal learning involves creating systems capable of interpreting and processing diverse data inputs like visual and textual information. Integrating different data types in AI presents unique…
The focus has shifted towards multimodal Large Language Models (MLLMs), particularly in enhancing their processing and integrating multi-sensory data in the evolution of AI. This advancement…
Neural Radiance Fields (NeRF) have revolutionized how everyone approaches 3D content creation, offering unparalleled realism in virtual and augmented reality applications. However, editing these scenes has…