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Welcome to AudioCIL, the toolbox for audio class-incremental learning with the most implemented methods.
[NeurIPS 2024] A Generalizable World Model for Autonomous Driving
Official implementation of "ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis"
A 3D Gaussian Splatting framework with various derived algorithms and an interactive web viewer
ECCV 2024 SuperGaussian for generic 3D upsampling
Pytorch implementation for "DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes"
ZeroGS: Training 3D Gaussian Splatting from Unposed Images.
Code release for NeRF (Neural Radiance Fields)
The code of AAAI 2023 ''Auto-Weighted Multi-View Clustering for Large-Scale Data''
The code of TIP 'Fast Continual Multi-View Clustering with Incomplete Views''
Awesome Semi-supervised Multi-view Classification is a collection of SOTA, novel semi-supervised multi-view classification methods (papers, codes).
Awesome Continual Multi-view Clustering is a collection of SOTA, novel continual multi-view clustering methods (papers, codes).
The repository maintains the source code for the article titled "Characterize and Optimize Dense Linear Solver on Multi-core CPUs."
The repository maintains the source code for the article titled "Optimizing Attention by Exploiting Data Reuse on ARM Multi-core CPUs."
Code for paper "MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping", ECCV 2024 (Oral)
Rotation of spherical harmonics using Wigner-D matrices
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
FreeVS: Generative View Synthesis on Free Driving Trajectory
[3DV'25] 3D Reconstruction with Spatial Memory
[NeurIPS 2024] SCube: Instant Large-Scale Scene Reconstruction using VoxSplats
[CVPR'24 Best Student Paper] Mip-Splatting: Alias-free 3D Gaussian Splatting
MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving
bevy gaussian splatting render pipeline plugin
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
Official implementation of the SIGGRAPH 2024 paper "A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets"
CUDA accelerated rasterization of gaussian splatting