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add RaDeGS #317
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add RaDeGS #317
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Hello, how to test for creating mesh from existing PLY with this PR? |
@@ -400,7 +423,7 @@ def rasterization( | |||
"tile_size": tile_size, | |||
"n_cameras": C, | |||
} | |||
return render_colors, render_alphas, meta | |||
return render_colors, render_alphas, expected_depth, median_depths, expected_normal, meta |
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If this is meant to be merged, tests
and the other training scripts in examples
need to be adapted to this API change.
image = imageio.imread(self.parser.image_paths[index])[..., :3] | ||
image = imageio.imread(self.parser.image_paths[index]) | ||
if image.shape[-1]==4: | ||
mask = image[...,-1] |
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Should the conversion to a binary mask be done here? (you're doing data["mask"]/255<0.5
later on)
Any news on this PR? |
mat3x2<T> nJ_inv_T = mat3x2<T>(vv + 1, -uv, // 1st column | ||
-uv, uu + 1, // 2nd column | ||
-u, -v // 3nd column | ||
); | ||
T factor = l / (uu + vv + 1); | ||
vec3<T> Cinv_uvh_n = glm::normalize(Cinv_uvh); | ||
T u_Cinv_u_n_clmap = max(glm::dot(Cinv_uvh_n, uvh), 1E-7); |
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Hello @BaowenZ , I am a little bit lost here and can not align the code with the equation in original paper. Is there any hint?
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This is related to further derivation of the rendering equation. The plane vector is
Hi, Ruilong is currently writing the code with a similar depth rendering method. And this PR might be helpful as a reference. @ichsan2895 |
hi @BaowenZ can the output of RaDeGS be used in a typical gaussian splat renderer? Or does it require special modifications? |
Appreciate your amazing work! I have a question about the mesh extraction part of the simple_trainer_recon.py.
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Hi! I added the Rade-GS depth and normal rendering.