Browsing: AI News
Volumetric recording and realistic representation of 4D (spacetime) human performance dissolve the barriers between spectators and performers. It offers a variety of immersive VR/AR experiences, such…
As the adage “an image is worth a thousand words” suggests, adding images as a second modality to 3D production gives substantial advantages over systems that…
Transformers were first introduced and quickly rose to prominence as the primary architecture in natural language processing. More lately, they have gained immense popularity in computer…
In a groundbreaking move, researchers at Meta AI have tackled the longstanding challenge of achieving high-fidelity relighting for dynamic 3D head avatars. Traditional methods have often…
Natural language processing (NLP) has entered a transformational period with the introduction of Large Language Models (LLMs), like the GPT series, setting new performance standards for…
The problem of generating synchronized motions of objects and humans within a 3D scene has been addressed by researchers from Stanford University and FAIR Meta by…
Text-to-image diffusion models represent an intriguing field in artificial intelligence research. They aim to create lifelike images based on textual descriptions utilizing diffusion models. The process…
Advancements in Artificial Intelligence (AI) and Deep Learning have brought a great transformation in the way humans interact with computers. With the introduction of diffusion models,…
Meta AI Presents EfficientSAM: SAM’s Little Brother with 20x Fewer Parameters and 20x Faster Runtime
In vision, the Segment Anything Model (SAM) has achieved remarkable success, attaining cutting-edge results in numerous image segmentation tasks, including zero-shot object proposal generation, zero-shot instance…
How can we improve CLIP for more focused and controlled image understanding and editing? Researchers from Shanghai Jiao Tong University, Fudan University, The Chinese University of…