Stars
Official implementation: Deep vanishing point detection: Geometric priors make dataset variations vanish, CVPR'22.
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (CVPR 2021 Oral)
[ICRA 2024] HIO-SDF: Hierarchical Incremental Online Signed Distance Fields
Approximating Signed Distance Fields of any 3D Mesh using Deep Neural Networks And Fourier Features For Real-time Rendering
Parallelized triangle mesh --> continuous signed distance field on CPU
Calculate signed distance fields for arbitrary meshes
Learning Continuous Signed Distance Functions for Shape Representation
Source code for "Differentiable Signed Distance Function Rendering" (Siggraph 2022)
[CVPR2024] OmniSDF: OmniSDF: Scene Reconstruction using Omnidirectional Signed Distance Functions and Adaptive Binoctrees
3D Gaussian Splatting Renderer implemented in WebGPU (WGPU) and Rust
bevy gaussian splatting render pipeline plugin
3D Gaussian Splatting Renderer for WebGL
Luma Interactive Scenes (captures) Web Examples, use lumalabs.ai captures directly in your three.js or other WebGL projects!
🧊 A Web Render Engine for rendering Interactive scenes with any 3D Asset from GLB, Huge-scale Point clouds, 3D Textured Meshes to 3D Gaussian Splats ✨
A library for prototyping realtime hand detection (bounding box), directly in the browser.
Pretrained models for TensorFlow.js
Run modern deep learning models in the browser.
Provides access to the GDAL/OGR API inside the Unreal Engine
This repo created an easy-to-use Python package, named OSMsc, to improve the availability, consistency and generalizability of urban semantic data.
The fastest tools for 3dtiles convert in the world!
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
Tool for creating 3D Tiles from PostGIS geometries
micro webGPU rendering & compute library
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier