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README.md

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@@ -32,15 +32,15 @@ This is an enchancement on paper by Disney Research [Deep Scattering](http://drz
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- [x] Build a model in pytorch as described in the original paper
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- [x] Train the model
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- [x] Implement an efficient neural-based renderer in c++
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- [ ] Compare to the original results
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- [x] Compare to the original results
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<p float="left">
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<img src="/images/neural_rendering_7000_meters.png" width="45%" />
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<img src="/images/neural_rendering_12000_meters.png" width="45%" />
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</p>
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*Research*
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Experiments with different architectures.
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- [ ] Try out different grids layout and evaluate convergence
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- [ ] Light prebacking
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- [ ] Progressive NN evaluation for light rebacking
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- [ ] Evaluate radiocity only for the outer layers of the cloud
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- [x] Shadow maps
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- [x] Latent space light probes
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- [x] Light probe rotation
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- [x] Light probe interpolation (trilinear, barycentric)
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- [x] Evaluate radiance only for the outer layers of the cloud

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