compact3d icon indicating copy to clipboard operation
compact3d copied to clipboard

Official implementation of "CompGS".

Results 9 compact3d issues
Sort by recently updated
recently updated
newest added

I noticed in the paper it says, 'Moreover, since the Gaussians are a set of non-ordered elements, we compress the representation further by sorting the Gaussians based on one of...

Love this work! Wanted to ask if there was a checkpoint or pretrained model available.

Nice work! I want to know how to monitor the memory-use, I have done experiments on 3dgs and compGS, but I don't know how to compare their memory usage.

hi i notice that the original gaussian splatting updated its colmap data reading method, may you also update compact3d codes :)?

Thank you for your excellent work! I encountered some difficulties while trying to reproduce the results. For instance, on the mipnerf360/bicycle dataset, I achieved a PSNR of 24.8, while the...

I want to request further clarification on the configuration details required to reproduce the results from your paper, particularly regarding the number of Gaussians. Despite following the implementation details described...

Hi, I was trying to run your code with mipnerf360 dataset. Then I had: ``` Traceback (most recent call last): File "train_kmeans.py", line 409, in training(lp.extract(args), op.extract(args), pp.extract(args), args.test_iterations, args.save_iterations,...

In line 198 in train_kmeans.py: `kmeans_dict = {'rot': kmeans_rot_q, 'scale': kmeans_sc_q, 'sh': kmeans_sh_q, 'dc': kmeans_dc_q}` The problem with this line is that it accesses variables that are never defined if...

Hi, Thanks very much for this excellent work. I found it very interesting. But when I tried your method to train a 3d model on scene "bicycle". I encountered with...