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[NeurIPS'25] LinPrim: Linear Primitives for Differentiable Volumetric Rendering
Generate images of code and terminal output 📸
An extremely fast Python package and project manager, written in Rust.
Ray tracing and hybrid rasterization of Gaussian particles
An extremely fast Python linter and code formatter, written in Rust.
CUDA accelerated rasterization of gaussian splatting
Summary of publicly available ressources such as code, datasets, and scientific papers for the FLAME 3D head model
A tool for visualizing and communicating the errors in rendered images.
Some simple Blender scripts for rendering paper figures
A markup-based typesetting system that is powerful and easy to learn.
Master programming by recreating your favorite technologies from scratch.
ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
A unified framework for 3D content generation.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Stable Diffusion with Core ML on Apple Silicon
A collection of resources and papers on Diffusion Models
Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"
[CVPR 2023] StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields
The pytorch implementation of our CVPR 2023 paper "Conditional Image-to-Video Generation with Latent Flow Diffusion Models"
A latent text-to-image diffusion model
Official code for the NeurIPS 2022 paper "Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising".