Neural Radiance Caching
2 papers with code • 0 benchmarks • 0 datasets
Involves the task of predicting photorealistic pixel colors from feature buffers.
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Since pretraining neural networks to handle novel, dynamic scenes is a formidable generalization challenge, we do away with pretraining and instead achieve generalization via adaptation, i. e. we opt for training the radiance cache while rendering.