diff --git a/README.md b/README.md index 059e2916..177eb3bd 100644 --- a/README.md +++ b/README.md @@ -9,6 +9,7 @@ Reference pytorch implementation: [nerf-pytorch](https://github.com/yenchenlin/n * Multi-gpu training: Training on 8 GPUs finishes within 1 hour for the synthetic dataset! * [Colab](#colab) notebooks to allow easy usage! +* Reconstruct **colored** mesh! # Installation @@ -118,17 +119,25 @@ python eval.py \ ``` It will create folder `results/{dataset_name}/{scene_name}` and run inference on all test data, finally create a gif out of them. -Example of lego scene using pretrained model, shown at 1/2 scale: (PSNR=31.39, paper=32.54) +Example of lego scene using pretrained model and the reconstructed **colored** mesh: (PSNR=31.39, paper=32.54) -![lego](https://user-images.githubusercontent.com/11364490/79932648-f8a1e680-8488-11ea-98fe-c11ec22fc8a1.gif) +

+ + +

-Example of fern scene using pretrained model, shown at 1/2 scale: +Example of fern scene using pretrained model: ![fern](https://user-images.githubusercontent.com/11364490/79932650-f9d31380-8488-11ea-8dad-b70a6a3daa6e.gif) -Example of own scene ([Silica GGO figure](https://www.youtube.com/watch?v=hVQIvEq_Av0)). Click to link to youtube video. +Example of own scene ([Silica GGO figure](https://www.youtube.com/watch?v=hVQIvEq_Av0)) and the reconstructed **colored** mesh. Click to link to youtube video. -[![silica](https://user-images.githubusercontent.com/11364490/80279695-324d4880-873a-11ea-961a-d6350e149ece.gif)]( https://youtu.be/yH1ZBcdNsUY) +

+ + + + +

# Notes on differences with the original repo