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 ...
Want to take your digital art to the next level by blending 3D objects seamlessly into 2D environments using Photoshop? This ...
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 ...
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This new JavaScript engine only needs 10 kB RAM
MicroQuickJS is a new project from Fabrice Bellard, who has created many other open-source projects, including QEMU, FFmpeg, ...
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, ...
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