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A unified framework for 3D content generation.
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiase…
A 3D Gaussian Splatting framework with various derived algorithms and an interactive web viewer
This repository is intended to host tools and demos for ActivityNet
A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!
Neural Scene Flow Fields using pytorch-lightning, with potential improvements
Solving Sudoku Puzzles in the Browser Using Augmented Reality
ganow / kubric
Forked from google-research/kubricA data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.