- Waterloo, Ontario
Stars
An extremely fast Python package and project manager, written in Rust.
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
[CVPR 2024 Oral, Best Paper Runner-Up] Code for "pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction" by David Charatan, Sizhe Lester Li, Andrea Tagliasacch…
[CVPR2024] NeuRAD: Neural Rendering for Autonomous Driving
[CVPR'24 Best Student Paper] Mip-Splatting: Alias-free 3D Gaussian Splatting
Implementation of "Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision"
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Template repository for creating and registering new methods in NerfStudio.
commaVQ is a dataset of compressed driving video
A latent text-to-image diffusion model
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
[CVPR 2023] Official repository for FJMP: Factorized Joint Multi-Agent Motion Prediction
[CVPR 2021] Self-supervised depth estimation from short sequences
A collaboration friendly studio for NeRFs
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
Instant neural graphics primitives: lightning fast NeRF and more
A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.
improves over nerf in 360 capture of unbounded scenes
[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.
Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
PyTorch code for the paper "Model-Based Imitation Learning for Urban Driving".
Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021.
pySLAM is a Python-based Visual SLAM pipeline that supports monocular, stereo, and RGB-D cameras. It offers a wide range of modern local and global features, multiple loop-closing strategies, a vol…
An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.