Creative Bloq on MSN

How lighting works in 3D, and why it’s easier than you think

The foundation of lighting is the three‑point setup. The key light is your main source, positioned just off‑camera, defining ...
GitHub

Open Vocabulary Monocular 3D Object Detection

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 ...
Dot Physics on MSN

Python physics simulation: Modeling rigid objects with springs

This video demonstrates how to model rigid objects using springs in a Python physics simulation. We explore how spring forces approximate rigidity, analyze motion and stability, and visualize the ...
IEEE

3D Object Classification with Selective Multi-View Fusion and Shape Rendering

Abstract: 3D classification is complex and challenging because of high-dimensional data, the intricate nature of their spatial relationships, and viewpoint variations. We fill the gap in view-based 3D ...
IEEE

MLF3D: Multi-Level Fusion for Multi-Modal 3D Object Detection

Abstract: Recently, 3D object detection techniques based on the fusion of camera and LiDAR sensor modalities have received much attention due to their complementary capabilities. How-ever, prevalent ...
GitHub

DDet3D: Embracing 3D Object Detector with Diffusion

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 ...