Stars
Trio – a friendly Python library for async concurrency and I/O
Machine Learning Engineering Open Book
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Towards Unpaired Depth Enhancement and Super-Resolution in the Wild paper code
Dr.Jit — A Just-In-Time-Compiler for Differentiable Rendering
more easily searchable list of explains playlist
10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
Homepage for CSC417: Physics-based Animation
Productive, portable, and performant GPU programming in Python.
NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
Code for the paper "Unbiased Inverse Volume Rendering with Differential Trackers"
3D face reconstruction from monocular image via deep convolutional neural networks and differentiable ray tracing
A high-fidelity 3D face reconstruction library from monocular RGB image(s)
Mitsuba 3: A Retargetable Forward and Inverse Renderer
Automatic Differentiation in Geometry Processing Made Simple
MICA - Towards Metrical Reconstruction of Human Faces [ECCV2022]
[NeurIPS 2021] Garment4D: Garment Reconstruction from Point Cloud Sequences
fit smpl parameters model using 3D joints
A multi-view SMPL fitting based on smplify-x
Some simple Blender scripts for rendering paper figures
Implementation of "PaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction"
High-Resolution 3D Human Digitization from A Single Image.
Simple physically based path tracer based on Nvidia's Optix Ray Tracing Engine
FFCV: Fast Forward Computer Vision (and other ML workloads!)
Differentiable rendering without approximation.