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Instant neural graphics primitives: lightning fast NeRF and more
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉
CUDA accelerated rasterization of gaussian splatting
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
[CVPR 2023 Highlight] Neural Kernel Surface Reconstruction
GA-Net: Guided Aggregation Net for End-to-end Stereo Matching
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment
tutorial for writing custom pytorch cpp+cuda kernel, applied on volume rendering (NeRF)
Official implementation of "Decentralization and Acceleration Enables Large-Scale Bundle Adjustment"
SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving
A refactored codebase for Gaussian Splatting. Training 3DGS in 50 seconds!
Templated C++/CUDA implementation of Model Predictive Path Integral Control (MPPI)
Multi-Scale Geometric Consistency Guided Multi-View Stereo
[EuroSys'24] Minuet: Accelerating 3D Sparse Convolutions on GPUs
BEVDet implemented by TensorRT, C++； Achieving real-time performance on Orin