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[NeurIPS 2024 Spotlight]"LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS", Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang

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Thank you for your work. After quantization, the model folder contains only one folder named `extreme_saving` and a `point_cloud.ply` file. I tried to use this folder directly with the command...

Hi guys, I am wondering if the following accumulation in renderCUDA_count kernel shall use atomic operation : ![image](https://github.com/VITA-Group/LightGaussian/assets/104508878/b73722a2-a4af-4580-90f6-5ca1c0d563ae) As far as I know, the collected_id[j] in different parallel threads may...

I want to modify diff-gaussian-rasterization. How to get the Global Significant Score?

Hi thanks for the great code. Please could you provide clear instructions for pruning a pre-trained INRIA "checkpoint" model .ply First off, Checkpoints and Trained models seem to be referenced...

when I try to train my dataset with train_densify_prune.py ,I encounter the error when the processing to 60% . my machine is unbuntu 20.04 and RTX 4090 GPU i execute...

Dear Authors, I'm curious to know whether the Octree-based Compression G-PCC mentioned in the paper is included in this GitHub repository? If it is, could you kindly direct me to...

Dear Authors, First, I would like to thank you for the amazing work that you have done and the impressive ideas that you proposed to compress the 3D-GS model while...

Hi, I'm curious about the hardware requirements for the experiment. I've been using a 4090 GPU with 128GB of VRAM to run the prune_finetune.py script on the Garden dataset. However,...

Thank you very much for your work The data compression work is excellent May I ask if you have tested the changes in the use of VRAM for graphics card...