Abstract: Classifying 2D images using a 2D image dataset is less taxing. Detecting 3D objects efficiently is often a challenge since it requires a decent amount of computational power. In order to ...

3D image reconstruction from a limited number of 2D images has been a long-standing challenge in computer vision and image analysis. While deep learning-based approaches have achieved impressive ...

Abstract: Synthesizing 3D content from single image has great potential in many real-world applications. To deal with the inherent ambiguity of single image, existing methods usually leverage ...

Panel one of the Ketton mosaic, which was discovered in 2020 by a farmer's son University of Leicester Archaeological Services Several years ago, archaeologists excavated an ancient Roman mosaic in ...

What if creating high-quality 3D models no longer required expensive software, specialized hardware, or years of expertise? Enter Meta’s SAM 3D, an open source AI tool that promises to provide ...

For 3090: We recommend CUDA 11.1 & Python v3.8.10 & Pytorch 1.9.0 conda create -n dfnet python=3.8.10 source activate dfnet conda install -c conda-forge cudatoolkit=11.1 cudnn=8.1.0 conda install -c ...