[ad_1] How can high-quality 3D reconstructions be achieved from a limited number of images? A team of researchers from Columbia University and Google introduced ‘ReconFusion,’ An artificial intelligence method that solves the problem of limited input views when reconstructing 3D scenes from images.…

[ad_1] A team of researchers from the University of Wisconsin-Madison, NVIDIA, the University of Michigan, and Stanford University have developed a new vision-language model (VLM) called Dolphins. It is a conversational driving assistant that can process multimodal inputs to provide informed driving instructions.…

[ad_1] How can the effectiveness of vision transformers be leveraged in diffusion-based generative learning? This paper from NVIDIA introduces a novel model called Diffusion Vision Transformers (DiffiT), which combines a hybrid hierarchical architecture with a U-shaped encoder and decoder. This approach has pushed…

[ad_1] How can Neural Radiance Fields (NeRFs) be improved to handle scale variations and reduce aliasing artifacts in scene reconstruction? A new research paper from CMU and Meta addresses this issue by proposing PyNeRF (Pyramidal Neural Radiance Fields). It improves neural radiation…

[ad_1] Recently, there have been significant advancements in video editing, with editing using Artificial Intelligence (AI) at its forefront. Numerous novel techniques have emerged, and among them, Diffusion-based video editing stands out as a particularly promising field. It leverages pre-trained text-to-image/video diffusion models…

[ad_1] An essential function of multi-view camera systems is novel view synthesis (NVS), which attempts to generate photorealistic images from new perspectives using source photos. The subfields of human NVS have the potential to significantly contribute to real-time efficiency and consistent 3D appearances…

[ad_1] Researchers developed the CoDi-2 Multimodal Large Language Model (MLLM) from UC Berkeley, Microsoft Azure AI, Zoom, and UNC-Chapel Hill to address the problem of generating and understanding complex multimodal instructions, as well as excelling in subject-driven image generation, vision transformation, and audio…

[ad_1] Human posture is crucial in overall health, well-being, and various aspects of life. It encompasses the alignment and positioning of the body while sitting, standing, or lying down. Good posture supports the optimal alignment of muscles, joints, and ligaments, reducing the risk…

[ad_1] The problem of video understanding and generation scenarios has been addressed by researchers of Tencent AI Lab and The University of Sydney by presenting GPT4Video. This unified multi-model framework supports LLMs with the capability of both video understanding and generation. GPT4Video developed…

[ad_1] Human Activity Recognition (HAR) is a field of study that focuses on developing methods and techniques to automatically identify and classify human activities based on data collected from various sensors. HAR aims to enable machines like smartphones, wearable devices, or smart environments…