Comments (1)
Hello! Thank you for interest in our work!
To clarify the extreme_saving folder is the result of the Vectree Quantization process, and its size is approximately 20MB. This quantized version can be rendered using the command python render_video.py --load_vq -m <model_path>
However, it's important to note that current interactive viewer does not support this quantized format directly. To accommodate this, we have implemented a function that converts the quantized data back into the .ply format. This conversion results in the 77MB file size that you observed.
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Related Issues (20)
- Pass existing gaussian splatting checkpoint into prune script HOT 5
- Question about rendering HOT 2
- Getting 'tensor object is not callable' HOT 6
- new
- Experiment Settings For the FPS Measurement HOT 3
- questions about interactive reviewer HOT 3
- When will SH distillation be open sourced? HOT 1
- Error about quantizing 3DGS checkpoint HOT 1
- Errors that occur when training on the room dataset. HOT 2
- 20,000 iterations and then prune? HOT 2
- Instructions for pruning pre-trained "checkpoint" model HOT 2
- Hardware Requirements
- Regarding the size of the shared room example
- about Octree-based Compression HOT 1
- nvrtc: error: invalid value for --gpu-architecture (-arch)
- multithread add operation in kernel 'renderCUDA_count' HOT 1
- How to calculate metrics for the quantized model? HOT 2
- How to get the Global Significant Score?
- Get 1 point after excuting
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