Browsing: AI News
How can missing portions of a 3D capture be effectively completed? This research paper from Google Research and UC Berkeley introduces “NeRFiller,” a novel approach for…
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…
Researchers from FNii CUHKSZ, SSE CUHKSZ introduce MVHumanNet, a vast dataset for multi-view human action sequences with extensive annotations, including human masks, camera parameters, 2D and…
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.…
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),…
How can we effectively approach object recognition? A team of researchers from Meta AI and the University of Maryland tackled the problem of object recognition by…
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…
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,…
The intersection of computer vision and natural language processing has long grappled with the challenge of generating regional captions for entities within images. This task becomes…
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…