Abstract: Monocular 3D object detection is a promising yet ill-posed task for autonomous vehicles due to the lack of accurate depth information. Cross-modality knowledge distillation could effectively ...
Use AI to make 3D printable models with a four-step flow using Nano Banana and Bamboo Studio for faster results. Design and ...
I actually wrote about this over a decade ago, but I found myself thinking about this once again, the fact that, in 1972, the ...
conda create -n ovmono3d python=3.8.20 conda activate ovmono3d pip install torch==2.4.1 torchvision==0.19.1 --index-url https://download.pytorch.org/whl/cu121 to ...
This is the official PyTorch implementation of the paper DDet3D: Embracing 3D Object Detector with Diffusion, by Gopi Krishna Erabati and Helder Araujo. Existing approaches rely on heuristic or ...
Imagine snapping a photo of your favorite object, a vintage car, a family heirloom, or even your pet, and instantly transforming it into a lifelike 3D model. Thanks to Meta’s SAM 3D, this futuristic ...
Abstract: In this paper, we study the problem of 3D object segmentation from raw point clouds. Unlike existing methods which usually require a large amount of human annotations for full supervision, ...