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PyTorch code for ECCV 2022 Oral paper "Modeling Mask Uncertainty in Hyperspectral Image Reconstruction"
CUDA accelerated rasterization of gaussian splatting
Differentiable optical simulation for end-to-end cameras.
[CVPR 2024] Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular, Stereo, and RGB-D Cameras
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
Library to calibrate, trigger and capture data cubes for the open source DIY hyperspectral camera.
Codes and data for Unmixing
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
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"
Code release for 360monodepth. With our framework we achieve monocular depth estimation for high resolution 360° images based on aligning and blending perspective depth maps.
CMake scripts for painless usage of SuiteSparse+METIS from Visual Studio and the rest of Windows/Linux/OSX IDEs supported by CMake
oneAPI Threading Building Blocks (oneTBB)
Open3D: A Modern Library for 3D Data Processing
Building libpng with Visual Studio 2019
Visual Studio project files for OpenVSLAM – no need to use CMake
Native Python implementation of conformal mapping methods CETM and BFF.
The English version of 14 lectures on visual SLAM.
A tutorial about octomap. Please check my blog for detail: cnblogs.com/gaoxiang12