Aneesh Tickoo is a consulting intern at MarktechPost. He is currently pursuing his undergraduate degree in Data Science and Artificial Intelligence from the Indian Institute of Technology(IIT), Bhilai. He spends most of his time working on projects aimed at harnessing the power of machine learning. His research interest is image processing and is passionate about building solutions around it. He loves to connect with people and collaborate on interesting projects.
Finer control over the visual characteristics and notions represented in a produced picture is typically required by artistic users of text-to-image diffusion models, which...
The CIA Trinity, a well-known information security framework, consists of data confidentiality, integrity protection, and high availability. Starting with each attribute, the research team...
Big vision-language models, or LVLMs, can interpret visual cues and provide easy replies for users to interact with. This is accomplished by skillfully fusing...
The development of commercial mixed reality platforms and the quick advancement of 3D graphics technology have made the creation of high-quality 3D scenes one...
Large multimodal models are becoming increasingly popular due to their ability to handle and analyze various data, including text and pictures. Academics have noticed...
Advances in 3D graphics and perception have been demonstrated by recent advances in Neural Radiance Fields (NeRFs). Furthermore, the state-of-the-art 3D Gaussian Splatting (GS)...
Large language models have recently brought about a paradigm change in natural language processing, leading to previously unheard-of advancements in language creation, comprehension, and...
A key component of many creative projects is the capacity of the created visual content to remain consistent across different situations, as seen in...
There has been a noticeable trend in Artificial General Intelligence (AGI) systems toward using pre-trained, adaptable representations, which provide task-agnostic advantages in various applications....
One of the main paradigms in machine learning is learning representations from several modalities. Pre-training broad pictures on unlabeled multimodal data and then fine-tuning...
