You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
@@ -4,7 +4,7 @@ An unofficial Implementation of 3D Gaussian Splatting for Real-Time Radiance Fie
We implement the 3d gaussian splatting methods through PyTorch with CUDA extensions, including the global culling, tile-based culling and rendering forward/backward codes.
#### Update
- 6/26/2023 Accelerate **Training** Speed from avg 4 it/s to 8.5 it/s, by replacing part of atomicAdd by warp reduction primitive.
- 6/26/2023 Accelerate **Training** Speed from avg 4 it/s to 8.5 it/s, by replacing part of atomicAdd by warp reduction primitive, costing 14 minutes for training 7k iterations on Garden scene.
| Scene | PSNR from paper | PSNR from this repo | Rendering Speed (official) | Rendering Speed (Ours) |
