Stars
A community-maintained Python framework for creating mathematical animations.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Code for the manim-generated scenes used in 3blue1brown videos
Implementation of Nougat Neural Optical Understanding for Academic Documents
CUDA accelerated rasterization of gaussian splatting
StarVector is a foundation model for SVG generation that transforms vectorization into a code generation task. Using a vision-language modeling architecture, StarVector processes both visual and te…
Plenoxels: Radiance Fields without Neural Networks
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-…
Ray tracing and hybrid rasterization of Gaussian particles
VGGSfM: Visual Geometry Grounded Deep Structure From Motion
Math OCR model that outputs LaTeX and markdown
Example projects we've done with OAK cameras
[ECCV 2024 - Oral] ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of images by learning a multi-view consistent, implicit scene representation.
A collection of tools for neural compression enthusiasts.
Long Context Transfer from Language to Vision
[ECCV '24] Compressing 3D Gaussian Splats by placing their parameters into a 2D grid with local smoothness
The goal of the library is to help with research in the area of data compression. This is not meant to be fast or efficient implementation, but rather for educational purpose
Python port of the Dual-Tree Complex Wavelet Transform toolbox for MATLAB
[NeurIPS'24] ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Model
A Python 3 toolbox to develop Brain-Computer Interfaces (BCI)
Python interface to Curvelab (http://www.curvelet.org)
Official code for ICML 2020 paper "Variational Bayesian Quantization"