fixed minor issue for mesh color hbb1#146

README.md

@@ -1,13 +1,14 @@
 # 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
 
-[Project page](https://surfsplatting.github.io/) | [Paper](https://arxiv.org/pdf/2403.17888) | [Video](https://www.youtube.com/watch?v=oaHCtB6yiKU) | [Surfel Rasterizer (CUDA)](https://github.com/hbb1/diff-surfel-rasterization) | [Surfel Rasterizer (Python)](https://colab.research.google.com/drive/1qoclD7HJ3-o0O1R8cvV3PxLhoDCMsH8W?usp=sharing) | [DTU+COLMAP (3.5GB)](https://drive.google.com/drive/folders/1SJFgt8qhQomHX55Q4xSvYE2C6-8tFll9) | [SIBR Viewer Pre-built for Windows](https://drive.google.com/file/d/1DRFrtFUfz27QvQKOWbYXbRS2o2eSgaUT/view?usp=sharing)<br>
+[Project page](https://surfsplatting.github.io/) | [Paper](https://arxiv.org/pdf/2403.17888) | [Video](https://www.youtube.com/watch?v=oaHCtB6yiKU) | [Surfel Rasterizer (CUDA)](https://github.com/hbb1/diff-surfel-rasterization) | [Surfel Rasterizer (Python)](https://colab.research.google.com/drive/1qoclD7HJ3-o0O1R8cvV3PxLhoDCMsH8W?usp=sharing) | [DTU+COLMAP (3.5GB)](https://drive.google.com/drive/folders/1SJFgt8qhQomHX55Q4xSvYE2C6-8tFll9) | [SIBR Viewer Pre-built for Windows](https://drive.google.com/file/d/1DRFrtFUfz27QvQKOWbYXbRS2o2eSgaUT/view?usp=sharing) | [Web Viewer](https://github.com/mkkellogg/GaussianSplats3D) <br>
 
 ![Teaser image](assets/teaser.jpg)
 
 This repo contains the official implementation for the paper "2D Gaussian Splatting for Geometrically Accurate Radiance Fields". Our work represents a scene with a set of 2D oriented disks (surface elements) and rasterizes the surfels with [perspective correct differentiable raseterization](https://colab.research.google.com/drive/1qoclD7HJ3-o0O1R8cvV3PxLhoDCMsH8W?usp=sharing). Our work also develops regularizations that enhance the reconstruction quality. We also devise meshing approaches for Gaussian splatting.
 
 
 ## ⭐ New Features 
+- 2024/07/20: Web-based viewer [GaussianSplats3D](https://github.com/mkkellogg/GaussianSplats3D) also supports 2DGS. Thanks to [Mark Kellogg](https://github.com/mkkellogg)
 - 2024/07/19: [Colab Notebook](https://github.com/atakan-topaloglu/2d_gaussian_splatting_colab) is supported! Thanks to [atakan-topaloglu](https://github.com/atakan-topaloglu)
 - 2024/06/10: [SIBR Viewer](https://github.com/RongLiu-Leo/2d-gaussian-splatting) is supported!
 - 2024/06/05: [Remote Viewer](https://github.com/hwanhuh/2D-GS-Viser-Viewer) based on Viser is supported! Thanks to [HwanHeo](https://github.com/hwanhuh).

utils/mesh_utils.py

@@ -169,7 +169,7 @@ def extract_mesh_bounded(self, voxel_size=0.004, sdf_trunc=0.02, depth_trunc=3,
 
             # make open3d rgbd
             rgbd = o3d.geometry.RGBDImage.create_from_color_and_depth(
-                o3d.geometry.Image(np.asarray(rgb.permute(1,2,0).cpu().numpy() * 255, order="C", dtype=np.uint8)),
+                o3d.geometry.Image(np.asarray(np.clip(rgb.permute(1,2,0).cpu().numpy(), 0.0, 1.0) * 255, order="C", dtype=np.uint8)),
                 o3d.geometry.Image(np.asarray(depth.permute(1,2,0).cpu().numpy(), order="C")),
                 depth_trunc = depth_trunc, convert_rgb_to_intensity=False,
                 depth_scale = 1.0