Stars
A Free-Space Diffraction BSDF - implementation and scenes
Real-time physical light transport (PLT) framework
Python code for the fast bilateral solver
Set of Python bindings to C++ libraries which provides full HW acceleration for video decoding, encoding and GPU-accelerated color space and pixel format conversions
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"
An Elegant Neural Network User Interface to build drag-and-drop neural networks, train in the browser, visualize during training, and export to Python.
Animation engine for explanatory chemistry videos
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Implementation of Phenaki Video, which uses Mask GIT to produce text guided videos of up to 2 minutes in length, in Pytorch
Terrain rendering algorithm in less than 20 lines of code
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies
Codes related to answers on StackExchange Network.
Toolset for shot preparation for the barbershop project
Plenoxels: Radiance Fields without Neural Networks
Instant neural graphics primitives: lightning fast NeRF and more
Fast Neural Representations for Direct Volume Rendering
Light-field imaging application for plenoptic cameras
Dense Deep Depth Estimation Network (D3-Net) in PyTorch.
AIFNet: All-in-focus Image Restoration Networkusing a Light Field-based Dataset
Dynamic Scene Scoping for Optical Flow (CVPR 2020)
Inference code and trained models for "Learning the Depths of Moving People by Watching Frozen People."
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Repository containing common 3D test models in original format with original source if known and obj mesh